Distributed Reinforcement Learning with States Feature Encoding and States Stacking in Continuous Action Space.
Tianqi XuDianxi ShiZhiyuan WangXucan ChenYaowen ZhangPublished in: CollaborateCom (1) (2020)
Keyphrases
- action space
- reinforcement learning
- state action
- state space
- state information
- markov decision problems
- real valued
- markov decision processes
- state and action spaces
- multi agent
- state variables
- reinforcement learning methods
- initial state
- continuous state
- markov decision process
- continuous state spaces
- action selection
- belief state
- partially observable
- machine learning
- state transition
- function approximation
- cooperative
- learning algorithm
- control problems
- stochastic processes
- average reward
- transition probabilities
- evaluation function
- optimal policy
- sufficient conditions