Learning from Symmetry: Meta-Reinforcement Learning with Symmetrical Behaviors and Language Instructions
Xiangtong Yao,Zhenshan Bing,Genghang Zhuang,Kejia Chen,Hongkuan Zhou,Kai Huang,Alois Knoll,Xiangtong Yao,Zhenshan Bing,Genghang Zhuang,Kejia Chen,Hongkuan Zhou,Kai Huang,Alois Knoll
Meta-reinforcement learning (meta-RL) is a promising approach that enables the agent to learn new tasks quickly. However, most meta-RL algorithms show poor generalization in multi-task scenarios due to the insufficient task information provided only by rewards. Language-conditioned meta-RL improves the generalization capability by matching language instructions with the agent's behaviors. While bo...