Partially observable deep reinforcement learning for multi-agent strategy optimization of human-robot collaborative disassembly: A case of retired electric vehicle battery.
Jiaxu GaoGuoxian WangJinhua XiaoPai ZhengEujin PeiPublished in: Robotics Comput. Integr. Manuf. (2024)
Keyphrases
- partially observable
- reinforcement learning
- electric vehicles
- human robot
- multi agent
- action selection
- state space
- partial observability
- markov decision processes
- partially observable environments
- partially observable domains
- markov decision problems
- human robot interaction
- decision problems
- optimal policy
- dynamical systems
- power system
- infinite horizon
- reinforcement learning algorithms
- machine learning
- learning algorithm
- humanoid robot
- robotic systems
- belief state
- dialogue system
- general purpose
- multi agent systems
- human users
- reward function
- search strategies
- transfer learning
- dynamic programming
- hidden markov models
- real time