Dilip Arumugam

Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL

Toward Efficient Exploration by Large Language Model Agents

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions

Assessing the Reverse-Engineering Abilities of Large Language Models

Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning