Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space.
Zhou FanRui SuWeinan ZhangYong YuPublished in: IJCAI (2019)
Keyphrases
- reinforcement learning
- action space
- actor critic
- state space
- markov decision processes
- reinforcement learning algorithms
- temporal difference
- policy iteration
- function approximation
- policy gradient
- approximate dynamic programming
- action selection
- average reward
- reinforcement learning methods
- state action
- optimal control
- model free
- rl algorithms
- function approximators
- markov decision process
- heuristic search
- learning algorithm
- objective function
- multi agent
- dynamic programming
- optimal policy
- partially observable
- machine learning
- real valued
- single agent
- neuro fuzzy
- control problems
- supervised learning
- least squares
- transfer learning
- dynamical systems
- markov decision problems
- learning problems