Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
Haotian FuHongyao TangJianye HaoZihan LeiYingfeng ChenChangjie FanPublished in: CoRR (2019)
Keyphrases
- multi agent reinforcement learning
- continuous action
- action space
- reinforcement learning
- continuous state spaces
- continuous state
- state space
- policy search
- markov decision processes
- multi agent
- learning agents
- stochastic games
- real valued
- multi agent learning
- action selection
- cooperative
- multi agent systems
- learning agent
- reinforcement learning algorithms
- function approximation
- transfer learning
- distributed control
- utility function
- machine learning