ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models

Name: ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
Uploaded: 2026-10-07T11:49:24.850062+00:00
Duration: 585 s
Description: ExploRLLM improves robot manipulation by combining Foundation Models (FMs) and Reinforcement Learning (RL). It uses LLMs to generate policy code and representations, while a residual RL agent handles physical details. This guides exploration, leading to faster convergence in tasks like table-top manipulation and zero-shot transfer to real-world settings.

ExploRLLM improves robot manipulation by combining Foundation Models (FMs) and Reinforcement Learning (RL). It uses LLMs to generate policy code and representations, while a residual RL agent handles physical details. This guides exploration, leading to faster convergence in tasks like table-top manipulation and zero-shot transfer to real-world settings.

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