Souradip Chakraborty | DeepAI

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∙ 05/27/2023

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

Most existing works consider direct perturbations of victim's state/acti...

15 Xiangyu Liu, et al. ∙

∙ 04/10/2023

On the Possibilities of AI-Generated Text Detection

Our work focuses on the challenge of detecting outputs generated by Larg...

29 Souradip Chakraborty, et al. ∙

∙ 03/14/2023

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

Reinforcement learning-based policies for continuous control robotic nav...

4 Souradip Chakraborty, et al. ∙

∙ 01/28/2023

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

Directed Exploration is a crucial challenge in reinforcement learning (R...

19 Souradip Chakraborty, et al. ∙

∙ 07/08/2022

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

We present a novel approach to improve the performance of deep reinforce...

0 Kasun Weerakoon, et al. ∙

∙ 06/12/2022

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

In this paper, we present a novel Heavy-Tailed Stochastic Policy Gradien...

7 Souradip Chakraborty, et al. ∙

∙ 06/02/2022

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

In this work, we propose a novel Kernelized Stein Discrepancy-based Post...

8 Souradip Chakraborty, et al. ∙

∙ 01/28/2022

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

We focus on parameterized policy search for reinforcement learning over ...

2 Amrit Singh Bedi, et al. ∙

∙ 10/07/2020

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

Representation Learning in a heterogeneous space with mixed variables of...

0 Souradip Chakraborty, et al. ∙

∙ 09/25/2020

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

In the realms of computer vision, it is evident that deep neural network...

7 Souradip Chakraborty, et al. ∙

∙ 09/21/2020

Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework

Representation of data on mixed variables, numerical and categorical typ...

0 Saswata Sahoo, et al. ∙

∙ 05/06/2020

Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type

Feature learning in the presence of a mixed type of variables, numerical...

0 Saswata Sahoo, et al. ∙