Distributed Reinforcement Learning with Self-Play in Parameterized Action Space.
Jun MaShunyi YaoGuangda ChenJiakai SongJianmin JiPublished in: SMC (2021)
Keyphrases
- action space
- reinforcement learning
- state space
- markov decision processes
- state and action spaces
- continuous state
- real valued
- multi agent
- single agent
- reinforcement learning methods
- action selection
- continuous state spaces
- control policies
- state action
- cooperative
- control problems
- stochastic processes
- markov decision problems
- function approximation
- function approximators
- dynamic programming
- markov decision process
- reinforcement learning algorithms
- model free
- multi agent systems