Souradip Chakraborty

发表

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies

D. Manocha, Alec Koppel, A. S. Bedi, 2022, arXiv.org.

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Brian M. Sadler, Furong Huang, D. Manocha, 2022, ArXiv.

Siamese Triple Ranking Convolution Network in Signature Forgery Detection

Souradip Chakraborty, Ojaswini Chhabra, 2019 .

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies

D. Manocha, Alec Koppel, A. S. Bedi, 2022, ArXiv.

Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning

Ekansh Verma, Vinodh Motupalli, Souradip Chakraborty, 2020, SEMEVAL.

HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm

A. S. Bedi, A. Sathyamoorthy, K. Weerakoon, 2022, CoRL.

RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback

A. S. Bedi, Pratap Tokekar, K. Weerakoon, 2023, ArXiv.

STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

Furong Huang, Mengdi Wang, Alec Koppel, 2023, arXiv.org.

On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces

Alec Koppel, A. S. Bedi, Pratap Tokekar, 2022, ICML.

On the Possibilities of AI-Generated Text Detection

Furong Huang, A. S. Bedi, Bang An, 2023, ArXiv.

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling pdf

Sayak Paul, Souradip Chakraborty, Aritra Roy Gosthipaty, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL

Furong Huang, Xiangyu Liu, Souradip Chakraborty, 2023, ArXiv.

BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR

Thomas Wagner, Ekaba Bisong, Souradip Chakraborty, 2020, COLING.

On the Possibilities of AI-Generated Text Detection

Furong Huang, A. S. Bedi, Bang An, 2023, ArXiv.

Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

Brian M. Sadler, Furong Huang, Alec Koppel, 2022, Proceedings of the AAAI Conference on Artificial Intelligence.

Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization

Alec Koppel, A. S. Bedi, Pratap Tokekar, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Aligning Agent Policy with Externalities: Reward Design via Bilevel RL

Furong Huang, Alec Koppel, A. S. Bedi, 2023, ArXiv.

FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints pdf

Saswata Sahoo, Ekansh Verma, Souradip Chakraborty, 2020, 2020 International Conference on Data Mining Workshops (ICDMW).

Controllable Attack and Improved Adversarial Training in Multi-Agent Reinforcement Learning

Furong Huang, Souradip Chakraborty, Xiangyu Liu, 2022 .

Stability anlysis and controller synthesis of networked control system (NCS) with arbitrary packet drop-outs

Amitava Gupta, Soumya Dasgupta, Souradip Chakraborty, 2015, 2015 2nd International Conference on Electronics and Communication Systems (ICECS).

STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning

Mengdi Wang, Alec Koppel, A. S. Bedi, 2023, ICML.

REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback

A. S. Bedi, Pratap Tokekar, Souradip Chakraborty, 2023, 2312.14436.

MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences

Alec Koppel, A. S. Bedi, Souradip Chakraborty, 2024, 2402.08925.

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Soumya Suvra Ghosal, A. S. Bedi, Jonas Geiping, 2023, ArXiv.

On the Possibilities of AI-Generated Text Detection

A. S. Bedi, Bang An, Souradip Chakraborty, 2023, ArXiv.

Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?

Souradip Chakraborty, Zora Che, Sicheng Zhu, 2024, ArXiv.