| Gradient Temporal-Difference Learning with Regularized Corrections S Ghiassian, A Patterson, S Garg, D Gupta, A White, M White International Conference on Machine Learning, 3524-3534, 2020 | 56 | 2020 |
| Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework T Saha, D Gupta, S Saha, P Bhattacharyya Cognitive Computation, 1-13, 2020 | 29 | 2020 |
| Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning T Saha, D Gupta, S Saha, P Bhattacharyya Expert Systems with Applications 162, 113650, 2020 | 18 | 2020 |
| Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF S Sun, D Gupta, M Iyyer arXiv preprint arXiv:2309.09055, 2023 | 14 | 2023 |
| A Mixture-of-Expert Approach to RL-based Dialogue Management Y Chow, A Tulepbergenov, O Nachum, MK Ryu, M Ghavamzadeh, ... arXiv preprint arXiv:2206.00059, 2022 | 14 | 2022 |
| Behavior Alignment via Reward Function Optimization D Gupta, Y Chandak, SM Jordan, PS Thomas, BC da Silva arXiv preprint arXiv:2310.19007, 2023 | 12 | 2023 |
| A hierarchical approach for efficient multi-intent dialogue policy learning T Saha, D Gupta, S Saha, P Bhattacharyya Multimedia Tools and Applications, 1-26, 2020 | 9 | 2020 |
| Reinforcement Learning Based Dialogue Management Strategy T Saha, D Gupta, S Saha, P Bhattacharyya International Conference on Neural Information Processing, 359-372, 2018 | 9 | 2018 |
| Structural Credit Assignment in Neural Networks using Reinforcement Learning D Gupta, G Mihucz, MK Schlegel, JE Kostas, PS Thomas, M White Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 8 | 2021 |
| Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management D Gupta, Y Chow, M Ghavamzadeh, C Boutilier arXiv preprint arXiv:2302.10850, 2023 | 4 | 2023 |
| A unified dialogue management strategy for multi-intent dialogue conversations in multiple languages T Saha, D Gupta, S Saha, P Bhattacharyya Transactions on Asian and Low-Resource Language Information Processing 20 (6 …, 2021 | 4 | 2021 |
| Bayesian Optimization Based Terrestrial Gait Tuning for a 12-DOF Alligator-Inspired Robot With Active Body Undulation K Agrawal, K Jain, D Gupta, R Srivastav, A Agnihotri, A Thakur ASME 2018 International Design Engineering Technical Conferences and …, 2018 | 4 | 2018 |
| Mitigating the curse of horizon in Monte-Carlo returns A Ayoub, D Szepesvari, F Zanini, B Chan, D Gupta, BC da Silva, ... Reinforcement Learning Journal, 2024 | 1 | 2024 |
| From Past to Future: Rethinking Eligibility Traces D Gupta, SM Jordan, S Chaudhari, B Liu, PS Thomas, BC da Silva arXiv preprint arXiv:2312.12972, 2023 | 1 | 2023 |
| Coagent Networks: Generalized and Scaled JE Kostas, SM Jordan, Y Chandak, G Theocharous, D Gupta, M White, ... arXiv preprint arXiv:2305.09838, 2023 | 1 | 2023 |
| Applicability of Momentum in the Methods of Temporal Learning D Gupta | 1 | 2020 |
| ICU-Sepsis: A Benchmark MDP Built from Real Medical Data K Choudhary, D Gupta, PS Thomas arXiv preprint arXiv:2406.05646, 2024 | | 2024 |
| A Generic Dialogue Manager using Reinforcement Learning in a Multilingual Multi-intent Multi-domain Setting D Gupta | | 2019 |
| Utility of accelerated temporal difference methods over gradient based optimizers D Gupta | | |
| Investigating the Utility of Off-Policy Data in PPO Algorithm Y Yuan, D Gupta | | |
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT BombayVerificeret mail på cse.iitb.ac.in
