Souradip Chakraborty
According to our database1,
Souradip Chakraborty
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
On the Safety Concerns of Deploying LLMs/VLMs in Robotics: Highlighting the Risks and Vulnerabilities.
CoRR, 2024
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences.
CoRR, 2024
CoRR, 2024
2023
REBEL: A Regularization-Based Solution for Reward Overoptimization in Reinforcement Learning from Human Feedback.
CoRR, 2023
CoRR, 2023
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in Multi-Agent RL.
CoRR, 2023
RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback.
CoRR, 2023
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policy Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Dealing with Sparse Rewards in Continuous Control Robotics via Heavy-Tailed Policies.
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm.
Proceedings of the Conference on Robot Learning, 2022
2020
Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework.
CoRR, 2020
Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
FairMixRep: Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020