Deep Reinforcement Learning with Robust and Smooth Policy.
Qianli ShenYan LiHaoming JiangZhaoran WangTuo ZhaoPublished in: ICML (2020)
Keyphrases
- reinforcement learning
- optimal policy
- markov decision process
- policy search
- state space
- function approximation
- multi agent
- partially observable
- learning algorithm
- approximate dynamic programming
- markov decision processes
- action selection
- reinforcement learning algorithms
- reinforcement learning problems
- data sets
- policy gradient
- infinite horizon
- robust estimation
- decision making
- machine learning
- neural network