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Nat Dilokthanakul
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2020 – today
- 2024
- [j7]Puchong Soisudarat
, Tanyatep Tothong
A framework for visual-based adaptive object-robot interaction of a mobile service robot. Adapt. Behav. 32(6): 471-491 (2024) - 2023
- [j6]Yanbin Zhang
Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot. Neural Networks 167: 292-308 (2023) - [c6]Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Generating Diverse Cooperative Agents by Learning Incompatible Policies. ICLR 2023 - 2022
- [j5]Sujet Phodapol
GRAB: GRAdient-Based Shape-Adaptive Locomotion Control. IEEE Robotics Autom. Lett. 7(2): 1087-1094 (2022) - [j4]Phairot Autthasan
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Trans. Biomed. Eng. 69(6): 2105-2118 (2022) - [j3]Guntitat Sawadwuthikul
Visual Goal Human-Robot Communication Framework With Few-Shot Learning: A Case Study in Robot Waiter System. IEEE Trans. Ind. Informatics 18(3): 1883-1891 (2022) - 2021
- [j2]Nannapas Banluesombatkul
MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. IEEE J. Biomed. Health Informatics 25(6): 1949-1963 (2021) - [c5]Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Learning to Cooperate with Unseen Agents Through Meta-Reinforcement Learning. AAMAS 2021: 1478-1479 - [c4]Kongkiat Rothomphiwat, Atthanat Harnkhamen, Tanyatep Tothong, Tachadol Suthisomboon, Nat Dilokthanakul, Poramate Manoonpong:
Advanced Collaborative Robots for the Factory of the Future. SII 2021: 578-579 - [i8]Phairot Autthasan, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, Phurin Rangpong, Suktipol Kiatthaveephong, Nat Dilokthanakul, Gun Bhakdisongkhram, Huy Phan, Cuntai Guan, Theerawit Wilaiprasitporn:
MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. CoRR abs/2102.03814 (2021) - [i7]Maytus Piriyajitakonkij, Sirawaj Itthipuripat, Theerawit Wilaiprasitporn, Nat Dilokthanakul:
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result. CoRR abs/2106.10112 (2021) - [i6]Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul:
Learning to Cooperate with Unseen Agent via Meta-Reinforcement Learning. CoRR abs/2111.03431 (2021) - 2020
- [c3]Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Investigating Partner Diversification Methods in Cooperative Multi-agent Deep Reinforcement Learning. ICONIP (5) 2020: 395-402 - [c2]Thirawat Chuthong, Binggwong Leung, Kawee Tiraborisute, Potiwat Ngamkajornwiwat
Dynamical State Forcing on Central Pattern Generators for Efficient Robot Locomotion Control. ICONIP (2) 2020: 799-810 - [i5]Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul:
An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection. CoRR abs/2001.08957 (2020) - [i4]Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Nat Dilokthanakul, Theerawit Wilaiprasitporn:
MetaSleepLearner: Fast Adaptation of Bio-signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning. CoRR abs/2004.04157 (2020)
2010 – 2019
- 2019
- [j1]Nat Dilokthanakul
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3409-3418 (2019) - 2018
- [b1]Nat Dilokthanakul:
Towards better data efficiency in deep reinforcement learning. Imperial College London, UK, 2018 - [c1]Nat Dilokthanakul
Deep Reinforcement Learning with Risk-Seeking Exploration. SAB 2018: 201-211 - 2017
- [i3]Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan:
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning. CoRR abs/1705.06769 (2017) - 2016
- [i2]Kai Arulkumaran, Nat Dilokthanakul, Murray Shanahan, Anil Anthony Bharath:
Classifying Options for Deep Reinforcement Learning. CoRR abs/1604.08153 (2016) - [i1]Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan:
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR abs/1611.02648 (2016)
Coauthor Index
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last updated on 2024-11-07 20:29 CET by the dblp team
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