Reset-free Reinforcement Learning with World Models

Zhao Yang, Thomas M. Moerland, Mike Preuss +2

Reinforcement learning (RL) is an appealing paradigm for training intelligent agents, enabling policy acquisition from the agent's own autonomously acquired experience. However, th…