Siddhant Agarwal

Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

A Unifying Perspective on Unsupervised Reinforcement Learning Algorithms

Exploration for Deployment-Efficient Reinforcement Learning Agents

RLZero: Direct Policy Inference from Language Without In-Domain Supervision

Proto Successor Measure: Representing the space of all possible solutions of Reinforcement Learning

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning

Proto Successor Measure: Representing the Behavior Space of an RL Agent