Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty.
Guanlin LiuZhihan ZhouHan LiuLifeng LaiPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- action selection
- uncertain data
- optimal policy
- action space
- probabilistic model
- computationally efficient
- bayesian networks
- plan execution
- highly efficient
- conditional probabilities
- generative model
- reinforcement learning algorithms
- state action
- control policies
- policy search
- markov decision processes
- query processing
- markov decision process
- multi agent
- learning algorithm
- actor critic
- partially observable domains