Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy.
Hongzhi HuaKaigui WuGuixuan WenPublished in: CoRR (2022)
Keyphrases
- maximum entropy
- multi agent reinforcement learning
- action space
- reinforcement learning
- random fields
- state space
- stochastic processes
- multi agent
- markov decision processes
- markov models
- conditional random fields
- learning agents
- single agent
- action selection
- multi agent learning
- multi agent systems
- reinforcement learning algorithms
- cooperative
- learning agent
- stochastic games
- maximum likelihood
- markov chain
- data mining
- real valued
- probability distribution
- decision making
- machine learning