Dhawal Gupta

According to our database, Dhawal Gupta authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments.

Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta

CoRR, 2024

Adaptive Switching Based Data-Communication Model for Internet of Healthcare Things Networks.

Mehwash Weqar, Shabana Mehfuz, Dhawal Gupta, Shabana Urooj

IEEE Access, 2024

ICU-Sepsis: A Benchmark MDP Built from Real Medical Data.

Kartik Choudhary, Dhawal Gupta, Philip S. Thomas

RLJ, 2024

Mitigating the Curse of Horizon in Monte-Carlo Returns.

Alex Ayoub, David Szepesvari, Francesco Zanini, Bryan Chan, Dhawal Gupta, Bruno Castro da Silva, Dale Schuurmans

RLJ, 2024

From Past to Future: Rethinking Eligibility Traces.

Dhawal Gupta, Scott M. Jordan, Shreyas Chaudhari, Bo Liu, Philip S. Thomas, Bruno Castro da Silva

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF.

Simeng Sun, Dhawal Gupta, Mohit Iyyer

CoRR, 2023

Coagent Networks: Generalized and Scaled.

James E. Kostas, Scott M. Jordan, Yash Chandak, Georgios Theocharous, Dhawal Gupta, Martha White, Bruno Castro da Silva, Philip S. Thomas

CoRR, 2023

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management.

Dhawal Gupta, Yinlam Chow, Mohammad Ghavamzadeh, Craig Boutilier

CoRR, 2023

Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management.

Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Behavior Alignment via Reward Function Optimization.

Dhawal Gupta, Yash Chandak, Scott M. Jordan, Philip S. Thomas, Bruno C. da Silva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Mixture-of-Expert Approach to RL-based Dialogue Management.

Yinlam Chow, Aza Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

A Unified Dialogue Management Strategy for Multi-intent Dialogue Conversations in Multiple Languages.

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

A hierarchical approach for efficient multi-intent dialogue policy learning.

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya

Multim. Tools Appl., 2021

Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework.

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya

Cogn. Comput., 2021

Structural Credit Assignment in Neural Networks using Reinforcement Learning.

Dhawal Gupta, Gabor Mihucz, Matthew Schlegel, James E. Kostas, Philip S. Thomas, Martha White

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Towards integrated dialogue policy learning for multiple domains and intents using Hierarchical Deep Reinforcement Learning.

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya

Expert Syst. Appl., 2020

Gradient Temporal-Difference Learning with Regularized Corrections.

Sina Ghiassian, Andrew Patterson, Shivam Garg, Dhawal Gupta, Adam White, Martha White

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Reinforcement Learning Based Dialogue Management Strategy.

Tulika Saha, Dhawal Gupta, Sriparna Saha, Pushpak Bhattacharyya

Proceedings of the Neural Information Processing - 25th International Conference, 2018