Generative Adversarial Exploration for Reinforcement Learning.
Weijun HongMenghui ZhuMinghuan LiuWeinan ZhangMing ZhouYong YuPeng SunPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- multi agent
- exploration exploitation
- model based reinforcement learning
- generative model
- autonomous learning
- state space
- markov decision processes
- function approximation
- machine learning
- unsupervised learning
- reinforcement learning algorithms
- exploration exploitation tradeoff
- data driven
- optimal control
- temporal difference
- model free
- discriminative methods
- active learning
- balancing exploration and exploitation
- temporal abstractions
- multi agent reinforcement learning
- policy search
- prior knowledge
- robotic control
- learning algorithm
- information retrieval