Hierarchical Reinforcement Learning Based on Planning Operators
IEEE Conference on Automation Science and Engineering（2024）
Key words
Hierarchical Reinforcement Learning,Learning Methods,Preconditioning,Sequence Of Actions,Robot Manipulator,Reinforcement Learning Algorithm,Reinforcement Learning Methods,Average Success Rate,Planning Domain,Time Step,Transition State,State Variables,Dynamic Environment,Set Of Operations,Robotic Arm,Reward Function,Deep Reinforcement Learning,Markov Decision Process,Policy Learning,Single Policy,Current Time Step,Bayesian Neural Network,Domain Of Definition,Planning Algorithm,Success Criteria,Reinforcement Learning Agent,Current Operation,Current State Of The Environment,Human Experts
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