Dual Action Policy for Robust Sim-to-Real Reinforcement Learning

Ng Wen Zheng Terence, Chen Jianda

This paper presents Dual Action Policy (DAP), a novel approach to address the dynamics mismatch inherent in the sim-to-real gap of reinforcement learning. DAP uses a single policy…