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2025 ICML ICML 2025

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Reinforcement Learning and Robotics

Authors

Adrià López Escoriza, Nicklas Hansen, Stone Tao, Tongzhou Mu, Hao Su

Topics

Reinforcement Learning > Applications > Robotics Robotics > Capabilities > Manipulation Reinforcement Learning > Methods > Model-Based RL

Keywords

world model learning sparse-reward task bi-phasic training scheme demonstration-augmented reward humanoid visual control multi-stage dense reward
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