Exploration in Deep Reinforcement Learning: A Comprehensive Survey.
Tianpei YangHongyao TangChenjia BaiJinyi LiuJianye HaoZhaopeng MengPeng LiuPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- model based reinforcement learning
- function approximation
- active learning
- autonomous learning
- reinforcement learning algorithms
- machine learning
- learning algorithm
- neural network
- temporal difference
- markov decision processes
- real time
- optimal control
- transfer learning
- optimal policy
- evolutionary algorithm
- state space
- information visualization
- action space
- reinforcement learning methods
- stochastic approximation
- search space
- multi agent
- belief nets
- e learning
- decision making
- database
- exploration exploitation tradeoff