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2020 – today
- 2024
- [c60]Liam Schramm, Abdeslam Boularias:
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization. ICML 2024 - [i45]Xinyu Zhang, Abdeslam Boularias:
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation. CoRR abs/2405.13178 (2024) - [i44]Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Peng Gao, Abdeslam Boularias, Hongsheng Li:
A3VLM: Actionable Articulation-Aware Vision Language Model. CoRR abs/2406.07549 (2024) - [i43]Xinyu Zhang, Yuhan Liu, Haonan Chang, Abdeslam Boularias:
Scaling Manipulation Learning with Visual Kinematic Chain Prediction. CoRR abs/2406.07837 (2024) - [i42]Liam Schramm, Abdeslam Boularias:
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization. CoRR abs/2407.05511 (2024) - [i41]Liam Schramm, Abdeslam Boularias:
Bellman Diffusion Models. CoRR abs/2407.12163 (2024) - [i40]Haonan Chang, Kowndinya Boyalakuntla, Yuhan Liu, Xinyu Zhang, Liam Schramm, Abdeslam Boularias:
DAP: Diffusion-based Affordance Prediction for Multi-modality Storage. CoRR abs/2409.00499 (2024) - [i39]Xinyu Zhang, Yuhan Liu, Haonan Chang, Liam Schramm, Abdeslam Boularias:
Autoregressive Action Sequence Learning for Robotic Manipulation. CoRR abs/2410.03132 (2024) - 2023
- [c59]Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas E. Bekris:
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data. CoRL 2023: 1610-1620 - [c58]Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Pu Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRL 2023: 1950-1974 - [c57]Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias:
Mono-STAR: Mono-Camera Scene-Level Tracking and Reconstruction. ICRA 2023: 820-826 - [c56]Junchi Liang, Abdeslam Boularias:
Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs. ICRA 2023: 1807-1813 - [c55]Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris:
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos. ICRA 2023: 7017-7023 - [c54]Xinyu Zhang, Abdeslam Boularias:
Optical Flow Boosts Unsupervised Localization and Segmentation. IROS 2023: 7635-7642 - [i38]Haonan Chang, Dhruv Metha Ramesh, Shijie Geng, Yuqiu Gan, Abdeslam Boularias:
Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction. CoRR abs/2301.13244 (2023) - [i37]Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris:
Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos. CoRR abs/2304.04325 (2023) - [i36]Xinyu Zhang, Abdeslam Boularias:
Optical Flow boosts Unsupervised Localization and Segmentation. CoRR abs/2307.13640 (2023) - [i35]Xinyu Zhang, Yuting Wang, Abdeslam Boularias:
Detect Every Thing with Few Examples. CoRR abs/2309.12969 (2023) - [i34]Haonan Chang, Kai Gao, Kowndinya Boyalakuntla, Alex Lee, Baichuan Huang, Harish Udhaya Kumar, Jinjin Yu, Abdeslam Boularias:
LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement. CoRR abs/2309.15821 (2023) - [i33]Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu, Siwei Cai, Eric Jing, Shreesh Keskar, Shijie Geng, Adeeb Abbas, Lifeng Zhou, Kostas E. Bekris, Abdeslam Boularias:
Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs. CoRR abs/2309.15940 (2023) - [i32]Shiyang Lu, Haonan Chang, Eric Pu Jing, Abdeslam Boularias, Kostas E. Bekris:
OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data. CoRR abs/2311.02873 (2023) - 2022
- [j10]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Physics-based scene-level reasoning for object pose estimation in clutter. Int. J. Robotics Res. 41(6): 615-636 (2022) - [j9]Baichuan Huang, Shuai D. Han, Jingjin Yu, Abdeslam Boularias:
Visual Foresight Trees for Object Retrieval From Clutter With Nonprehensile Rearrangement. IEEE Robotics Autom. Lett. 7(1): 231-238 (2022) - [c53]Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias:
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRL 2022: 2073-2082 - [c52]Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu:
Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter. ICRA 2022: 625-632 - [c51]Edgar Granados, Abdeslam Boularias, Kostas E. Bekris, Mridul Aanjaneya:
Model Identification and Control of a Low-cost Mobile Robot with Omnidirectional Wheels using Differentiable Physics. ICRA 2022: 1358-1364 - [c50]Liam Schramm, Abdeslam Boularias:
Learning-Guided Exploration for Efficient Sampling-Based Motion Planning in High Dimensions. ICRA 2022: 4429-4435 - [c49]Junchi Liang, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias:
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations. ICRA 2022: 8591-8597 - [c48]Baichuan Huang, Abdeslam Boularias, Jingjin Yu:
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning. IROS 2022: 1153-1160 - [c47]Haonan Chang, Abdeslam Boularias:
Scene-level Tracking and Reconstruction without Object Priors. IROS 2022: 3785-3792 - [i31]Baichuan Huang, Teng Guo, Abdeslam Boularias, Jingjin Yu:
Self-Supervised Monte Carlo Tree Search Learning for Object Retrieval in Clutter. CoRR abs/2202.01426 (2022) - [i30]Junchi Liang, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias:
Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations. CoRR abs/2203.03797 (2022) - [i29]Liam Schramm, Yunfu Deng, Edgar Granados, Abdeslam Boularias:
USHER: Unbiased Sampling for Hindsight Experience Replay. CoRR abs/2207.01115 (2022) - [i28]Baichuan Huang, Abdeslam Boularias, Jingjin Yu:
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning. CoRR abs/2207.06649 (2022) - [i27]Junchi Liang, Abdeslam Boularias:
Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs. CoRR abs/2209.06331 (2022) - [i26]Haonan Chang, Abdeslam Boularias:
Scene-level Tracking and Reconstruction without Object Priors. CoRR abs/2210.03815 (2022) - 2021
- [c46]Shuai D. Han, Baichuan Huang, Sijie Ding, Changkyu Song, Si Wei Feng, Ming Xu, Hao Lin, Qingze Zou, Abdeslam Boularias, Jingjin Yu:
Toward Fully Automated Metal Recycling using Computer Vision and Non-Prehensile Manipulation. CASE 2021: 891-898 - [c45]Baichuan Huang, Shuai D. Han, Abdeslam Boularias, Jingjin Yu:
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal. ICRA 2021: 4694-4701 - [c44]Juntao Tan, Changkyu Song, Abdeslam Boularias:
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. ICRA 2021: 14061-14068 - [c43]Junchi Liang, Abdeslam Boularias:
Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism. IJCAI 2021: 1944-1950 - [c42]Junchi Liang, Abdeslam Boularias:
Self-Supervised Learning of Long-Horizon Manipulation Tasks with Finite-State Task Machines. L4DC 2021: 484-497 - [c41]Andrew S. Morgan, Bowen Wen, Junchi Liang, Abdeslam Boularias, Aaron M. Dollar, Kostas E. Bekris:
Vision-driven Compliant Manipulation for Reliable; High-Precision Assembly Tasks. Robotics: Science and Systems 2021 - [i25]Baichuan Huang, Shuai D. Han, Jingjin Yu, Abdeslam Boularias:
Visual Foresight Tree for Object Retrieval from Clutter with Nonprehensile Rearrangement. CoRR abs/2105.02857 (2021) - [i24]Andrew S. Morgan, Bowen Wen, Junchi Liang, Abdeslam Boularias, Aaron M. Dollar, Kostas E. Bekris:
Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks. CoRR abs/2106.14070 (2021) - 2020
- [j8]Chaitanya Mitash, Rahul Shome, Bowen Wen, Abdeslam Boularias, Kostas E. Bekris:
Task-Driven Perception and Manipulation for Constrained Placement of Unknown Objects. IEEE Robotics Autom. Lett. 5(4): 5605-5612 (2020) - [c40]Liam Schramm, Avishai Sintov, Abdeslam Boularias:
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. ICRA 2020: 4579-4585 - [c39]Avishai Sintov, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias:
Motion Planning with Competency-Aware Transition Models for Underactuated Adaptive Hands. ICRA 2020: 7761-7767 - [c38]Changkyu Song, Abdeslam Boularias:
A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning. IROS 2020: 5311-5318 - [c37]Junchi Liang, Abdeslam Boularias:
Learning Transition Models with Time-delayed Causal Relations. IROS 2020: 8087-8093 - [c36]Changkyu Song, Abdeslam Boularias:
Identifying Mechanical Models of Unknown Objects with Differentiable Physics Simulations. L4DC 2020: 749-760 - [c35]Avishai Sintov, Andrew Kimmel, Bowen Wen, Abdeslam Boularias, Kostas E. Bekris:
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands. L4DC 2020: 771-780 - [c34]Changkyu Song, Abdeslam Boularias:
Learning to Slide Unknown Objects with Differentiable Physics Simulations. Robotics: Science and Systems 2020 - [i23]Changkyu Song, Abdeslam Boularias:
Identifying Mechanical Models through Differentiable Simulations. CoRR abs/2005.05410 (2020) - [i22]Changkyu Song, Abdeslam Boularias:
Learning to Slide Unknown Objects with Differentiable Physics Simulations. CoRR abs/2005.05456 (2020) - [i21]Liam Schramm, Avishai Sintov, Abdeslam Boularias:
Learning to Transfer Dynamic Models of Underactuated Soft Robotic Hands. CoRR abs/2005.10418 (2020) - [i20]Chaitanya Mitash, Rahul Shome, Bowen Wen, Abdeslam Boularias, Kostas E. Bekris:
Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects. CoRR abs/2006.15503 (2020) - [i19]Junchi Liang, Abdeslam Boularias:
Learning Transition Models with Time-delayed Causal Relations. CoRR abs/2008.01593 (2020) - [i18]Changkyu Song, Abdeslam Boularias:
A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning. CoRR abs/2008.01921 (2020) - [i17]Yanshi Luo, Abdeslam Boularias, Mridul Aanjaneya:
Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics. CoRR abs/2009.11465 (2020) - [i16]Baichuan Huang, Shuai D. Han, Abdeslam Boularias, Jingjin Yu:
DIPN: Deep Interaction Prediction Network with Application to Clutter Removal. CoRR abs/2011.04692 (2020) - [i15]Juntao Tan, Changkyu Song, Abdeslam Boularias:
A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs. CoRR abs/2011.05459 (2020)
2010 – 2019
- 2019
- [j7]Changkyu Song, Abdeslam Boularias:
Inferring 3D Shapes of Unknown Rigid Objects in Clutter Through Inverse Physics Reasoning. IEEE Robotics Autom. Lett. 4(2): 201-208 (2019) - [j6]Avishai Sintov, Andrew S. Morgan, Andrew Kimmel, Aaron M. Dollar, Kostas E. Bekris, Abdeslam Boularias:
Learning a State Transition Model of an Underactuated Adaptive Hand. IEEE Robotics Autom. Lett. 4(2): 1287-1294 (2019) - [c33]Chaitanya Mitash, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias:
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects. CoRL 2019: 1133-1145 - [c32]Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguère, Abdeslam Boularias:
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images. ICRA 2019: 3500-3506 - [c31]Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Hristiyan Kourtev, Jingjin Yu, Abdeslam Boularias, Kostas E. Bekris:
Towards Robust Product Packing with a Minimalistic End-Effector. ICRA 2019: 9007-9013 - [c30]Changkyu Song, Abdeslam Boularias:
Object Rearrangement with Nested Nonprehensile Manipulation Actions. IROS 2019: 6578-6585 - [c29]Andrew Kimmel, Avishai Sintov, Juntao Tan, Bowen Wen, Abdeslam Boularias, Kostas E. Bekris:
Belief-Space Planning Using Learned Models with Application to Underactuated Hands. ISRR 2019: 642-659 - [i14]Rahul Shome, Wei N. Tang, Changkyu Song, Chaitanya Mitash, Hristiyan Kourtev, Jingjin Yu, Abdeslam Boularias, Kostas E. Bekris:
Towards Robust Product Packing with a Minimalistic End-Effector. CoRR abs/1903.00984 (2019) - [i13]Changkyu Song, Abdeslam Boularias:
Inferring 3D Shapes of Unknown Rigid Objects in Clutter through Inverse Physics Reasoning. CoRR abs/1903.05749 (2019) - [i12]Changkyu Song, Abdeslam Boularias:
Object Rearrangement with Nested Nonprehensile Manipulation Actions. CoRR abs/1905.07505 (2019) - [i11]Chaitanya Mitash, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias:
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects. CoRR abs/1910.04953 (2019) - 2018
- [c28]Shaojun Zhu, David Allen Surovik, Kostas E. Bekris, Abdeslam Boularias:
Information-Efficient Model Identification for Tensegrity Robot Locomotion. AAAI Spring Symposia 2018 - [c27]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Robust 6D Object Pose Estimation with Stochastic Congruent Sets. BMVC 2018: 277 - [c26]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Improving 6D Pose Estimation of Objects in Clutter Via Physics-Aware Monte Carlo Tree Search. ICRA 2018: 1-8 - [c25]Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias:
Fast Model Identification via Physics Engines for Data-Efficient Policy Search. IJCAI 2018: 3249-3256 - [c24]Shaojun Zhu, David Allen Surovik, Kostas E. Bekris, Abdeslam Boularias:
Efficient Model Identification for Tensegrity Locomotion. IROS 2018: 2985-2990 - [i10]Shaojun Zhu, David Allen Surovik, Kostas E. Bekris, Abdeslam Boularias:
Efficient Model Identification for Tensegrity Locomotion. CoRR abs/1804.04696 (2018) - [i9]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Robust 6D Object Pose Estimation with Stochastic Congruent Sets. CoRR abs/1805.06324 (2018) - [i8]Junchi Liang, Abdeslam Boularias:
Task-Relevant Object Discovery and Categorization for Playing First-person Shooter Games. CoRR abs/1806.06392 (2018) - [i7]Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguère, Abdeslam Boularias:
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images. CoRR abs/1806.06888 (2018) - [i6]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter. CoRR abs/1806.10457 (2018) - 2017
- [j5]Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Bernhard Schölkopf, Jan Peters:
Anticipatory action selection for human-robot table tennis. Artif. Intell. 247: 399-414 (2017) - [c23]Chaitanya Mitash, Kostas E. Bekris, Abdeslam Boularias:
A self-supervised learning system for object detection using physics simulation and multi-view pose estimation. IROS 2017: 545-551 - [i5]Chaitanya Mitash, Kostas E. Bekris, Abdeslam Boularias:
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation. CoRR abs/1703.03347 (2017) - [i4]Shaojun Zhu, Andrew Kimmel, Abdeslam Boularias:
Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation. CoRR abs/1703.07822 (2017) - [i3]Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris:
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search. CoRR abs/1710.08577 (2017) - [i2]Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias:
Model Identification via Physics Engines for Improved Policy Search. CoRR abs/1710.08893 (2017) - 2016
- [j4]Samory Kpotufe, Abdeslam Boularias, Thomas Schultz, Kyoungok Kim:
Gradients Weights improve Regression and Classification. J. Mach. Learn. Res. 17: 22:1-22:34 (2016) - [c22]Abdeslam Boularias, Felix Duvallet, Jean Oh, Anthony Stentz:
Learning Qualitative Spatial Relations for Robotic Navigation. IJCAI 2016: 4130-4134 - [c21]Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz:
Integrated Intelligence for Human-Robot Teams. ISER 2016: 309-322 - 2015
- [c20]Abdeslam Boularias, James Andrew Bagnell, Anthony Stentz:
Learning to Manipulate Unknown Objects in Clutter by Reinforcement. AAAI 2015: 1336-1342 - [c19]Jean H. Oh, Arne Suppé, Felix Duvallet, Abdeslam Boularias, Luis E. Navarro-Serment, Martial Hebert, Anthony Stentz, Jerry Vinokurov, Oscar J. Romero, Christian Lebiere, Robert M. Dean:
Toward Mobile Robots Reasoning Like Humans. AAAI 2015: 1371-1379 - [c18]Abdeslam Boularias, Felix Duvallet, Jean Oh, Anthony Stentz:
Grounding spatial relations for outdoor robot navigation. ICRA 2015: 1976-1982 - 2014
- [j3]Katharina Mülling, Abdeslam Boularias, Betty J. Mohler, Bernhard Schölkopf, Jan Peters:
Learning strategies in table tennis using inverse reinforcement learning. Biol. Cybern. 108(5): 603-619 (2014) - [j2]Claudio Persello, Abdeslam Boularias, Michele Dalponte, Terje Gobakken, Erik Næsset, Bernhard Schölkopf:
Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification. IEEE Trans. Geosci. Remote. Sens. 52(10): 6652-6664 (2014) - [c17]Abdeslam Boularias, James Andrew Bagnell, Anthony Stentz:
Efficient Optimization for Autonomous Robotic Manipulation of Natural Objects. AAAI 2014: 2520-2526 - 2013
- [j1]Abdeslam Boularias, Brahim Chaib-draa:
Apprenticeship learning with few examples. Neurocomputing 104: 83-96 (2013) - 2012
- [c16]Abdeslam Boularias, Oliver Kroemer, Jan Peters:
Algorithms for Learning Markov Field Policies. NIPS 2012: 2186-2194 - [c15]Samory Kpotufe, Abdeslam Boularias:
Gradient Weights help Nonparametric Regressors. NIPS 2012: 2870-2878 - [c14]Abdeslam Boularias, Oliver Krömer, Jan Peters:
Structured Apprenticeship Learning. ECML/PKDD (2) 2012: 227-242 - [c13]Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu:
Hilbert Space Embeddings of POMDPs. UAI 2012: 644-653 - [i1]Yu Nishiyama, Abdeslam Boularias, Arthur Gretton, Kenji Fukumizu:
Hilbert Space Embeddings of POMDPs. CoRR abs/1210.4887 (2012) - 2011
- [c12]Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters:
Balancing Safety and Exploitability in Opponent Modeling. AAAI 2011: 1515-1520 - [c11]Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters:
Modeling Opponent Actions for Table-Tennis Playing Robot. AAAI 2011: 1828-1829 - [c10]Abdeslam Boularias, Oliver Kroemer, Jan Peters:
Learning robot grasping from 3-D images with Markov Random Fields. IROS 2011: 1548-1553 - [c9]Abdeslam Boularias, Jens Kober, Jan Peters:
Relative Entropy Inverse Reinforcement Learning. AISTATS 2011: 182-189 - 2010
- [c8]Abdeslam Boularias, Brahim Chaib-draa:
Apprenticeship learning via soft local homomorphisms. ICRA 2010: 2971-2976 - [c7]Abdeslam Boularias, Brahim Chaib-draa:
Bootstrapping Apprenticeship Learning. NIPS 2010: 289-297
2000 – 2009
- 2009
- [c6]Abdeslam Boularias, Brahim Chaib-draa:
Predictive representations for policy gradient in POMDPs. ICML 2009: 65-72 - 2008
- [c5]Abdeslam Boularias, Brahim Chaib-draa:
Exact Dynamic Programming for Decentralized POMDPs with Lossless Policy Compression. ICAPS 2008: 20-27 - [c4]Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa:
State Space Compression with Predictive Representations. FLAIRS 2008: 41-46 - [c3]Abdeslam Boularias:
A Predictive Model for Imitation Learning in Partially Observable Environments. ICMLA 2008: 83-90 - [c2]Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chaib-draa:
Prediction-Directed Compression of POMDPs. ICMLA 2008: 99-105 - 2007
- [c1]Andriy Burkov, Abdeslam Boularias, Brahim Chaib-draa:
Competition and Coordination in Stochastic Games. Canadian AI 2007: 26-37
Coauthor Index
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