Souradip Chakraborty

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 37

Top Topics

Reinforcement Learning

Top Venues

ICDM (Workshops)

Publications

Xiyang Wu, Ruiqi Xian, Tianrui Guan, Jing Liang, Souradip Chakraborty, Fuxiao Liu, Brian M. Sadler, Dinesh Manocha, Amrit Singh Bedi
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities. CoRR (2024)
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR (2024)
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL. ICLR (2024)
Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Singh Bedi, Aniket Bera
Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues. CoRR (2024)
Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Singh Bedi, Mengdi Wang
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences. CoRR (2024)
Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning. CoRR (2024)
Nirjhar Das, Souradip Chakraborty, Aldo Pacchiano, Sayak Ray Chowdhury
Provably Sample Efficient RLHF via Active Preference Optimization. CoRR (2024)
Pankayaraj Pathmanathan, Souradip Chakraborty, Xiangyu Liu, Yongyuan Liang, Furong Huang
Is poisoning a real threat to LLM alignment? Maybe more so than you think. CoRR (2024)
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR (2024)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR (2024)
Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
Transfer Q Star: Principled Decoding for LLM Alignment. CoRR (2024)
Souradip Chakraborty, Amrit Singh Bedi, Kasun Weerakoon, Prithvi Poddar, Alec Koppel, Pratap Tokekar, Dinesh Manocha
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization. ICRA (2023)
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. 2023 (2023)
Souradip Chakraborty, Kasun Weerakoon, Prithvi Poddar, Pratap Tokekar, Amrit Singh Bedi, Dinesh Manocha
RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback. CoRR (2023)
Souradip Chakraborty, Amisha Bhaskar, Anukriti Singh, Pratap Tokekar, Dinesh Manocha, Amrit Singh Bedi
REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Dinesh Manocha, Huazheng Wang, Furong Huang, Mengdi Wang
Aligning Agent Policy with Externalities: Reward Design via Bilevel RL. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning. CoRR (2023)
Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
On the Possibilities of AI-Generated Text Detection. CoRR (2023)
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Singh Bedi
Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey. CoRR (2023)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML (2023)
Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. AAAI (2023)
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. ICML (2022)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Pratap Tokekar, Dinesh Manocha
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies. CoRR (2022)
Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M. Sadler, Pratap Tokekar, Alec Koppel
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces. CoRR (2022)
Souradip Chakraborty, Amrit Singh Bedi, Alec Koppel, Brian M. Sadler, Furong Huang, Pratap Tokekar, Dinesh Manocha
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning. CoRR (2022)
Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRL (2022)
Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit Singh Bedi, Dinesh Manocha
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRR (2022)
Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. ICDM (Workshops) (2020)
Ekansh Verma, Vinodh Motupalli, Souradip Chakraborty
Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning. SemEval@COLING (2020)
Saswata Sahoo, Souradip Chakraborty
Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework. CoRR (2020)
Saswata Sahoo, Souradip Chakraborty
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type. ICPR (2020)
Souradip Chakraborty, Ekaba Bisong, Shweta Bhatt, Thomas Wagner, Riley Elliott, Francesco Mosconi
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR. COLING (2020)
Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. CoRR (2020)
Souradip Chakraborty, Ekansh Verma, Saswata Sahoo, Jyotishka Datta
FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints. ICDM (Workshops) (2020)
Saswata Sahoo, Souradip Chakraborty
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type. CoRR (2020)
Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul
G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. CoRR (2020)