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Dhawal Gupta
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2020 – today
- 2024
- [j7]Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans:
Mitigating the Curse of Horizon in Monte-Carlo Returns. RLJ 2: 563-572 (2024) - [j6]Kartik Choudhary, Dhawal Gupta, Philip S. Thomas:
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data. RLJ 4: 1546-1566 (2024) - [j5]Mehwash Weqar
, Shabana Mehfuz
Adaptive Switching Based Data-Communication Model for Internet of Healthcare Things Networks. IEEE Access 12: 11530-11548 (2024) - [c7]Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. AAAI 2024: 12253-12260 - [i8]Kartik Choudhary, Dhawal Gupta, Philip S. Thomas:
ICU-Sepsis: A Benchmark MDP Built from Real Medical Data. CoRR abs/2406.05646 (2024) - [i7]Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta:
A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments. CoRR abs/2408.00997 (2024) - 2023
- [c6]Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier:
A Mixture-of-Expert Approach to RL-based Dialogue Management. ICLR 2023 - [c5]Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva:
Behavior Alignment via Reward Function Optimization. NeurIPS 2023 - [c4]Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier:
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. NeurIPS 2023 - [i6]Dhawal Gupta, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier:
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management. CoRR abs/2302.10850 (2023) - [i5]James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas:
Coagent Networks: Generalized and Scaled. CoRR abs/2305.09838 (2023) - [i4]Simeng Sun, Dhawal Gupta, Mohit Iyyer:
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF. CoRR abs/2309.09055 (2023) - [i3]Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno Castro da Silva:
Behavior Alignment via Reward Function Optimization. CoRR abs/2310.19007 (2023) - [i2]Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva:
From Past to Future: Rethinking Eligibility Traces. CoRR abs/2312.12972 (2023) - 2021
- [j4]Tulika Saha
Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework. Cogn. Comput. 13(2): 277-289 (2021) - [j3]Tulika Saha
A hierarchical approach for efficient multi-intent dialogue policy learning. Multim. Tools Appl. 80(28-29): 35025-35050 (2021) - [j2]Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya:
A Unified Dialogue Management Strategy for Multi-intent Dialogue Conversations in Multiple Languages. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(6): 99:1-99:22 (2021) - [c3]Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White:
Structural Credit Assignment in Neural Networks using Reinforcement Learning. NeurIPS 2021: 30257-30270 - 2020
- [j1]Tulika Saha
Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning. Expert Syst. Appl. 162: 113650 (2020) - [c2]Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White:
Gradient Temporal-Difference Learning with Regularized Corrections. ICML 2020: 3524-3534 - [i1]Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White:
Gradient Temporal-Difference Learning with Regularized Corrections. CoRR abs/2007.00611 (2020)
2010 – 2019
- 2018
- [c1]Tulika Saha
Reinforcement Learning Based Dialogue Management Strategy. ICONIP (3) 2018: 359-372
Coauthor Index
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