Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines

no code implementations • 8 Mar 2024 • Xuejing Zheng, Chao Yu

In this paper, we study the cooperative Multi-Agent Reinforcement Learning (MARL) problems using Reward Machines (RMs) to specify the reward functions such that the prior knowledge of high-level events in a task can be leveraged to facilitate the learning efficiency.

Multi-agent Reinforcement Learning reinforcement-learning

Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey

no code implementations • 24 Apr 2023 • Chao Yu, Xuejing Zheng, Hankz Hankui Zhuo, Hai Wan, Weilin Luo

Reinforcement Learning(RL) has achieved tremendous development in recent years, but still faces significant obstacles in addressing complex real-life problems due to the issues of poor system generalization, low sample efficiency as well as safety and interpretability concerns.

reinforcement-learning Reinforcement Learning (RL)

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines

no code implementations • 18 Nov 2021 • Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

In this paper, we propose Lifelong reinforcement learning with Sequential linear temporal logic formulas and Reward Machines (LSRM), which enables an agent to leverage previously learned knowledge to fasten learning of logically specified tasks.

reinforcement-learning Reinforcement Learning (RL) +1