Directed Exploration for Reinforcement Learning.
Zhaohan Daniel GuoEmma BrunskillPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- model based reinforcement learning
- exploration exploitation
- function approximation
- autonomous learning
- exploration exploitation tradeoff
- state space
- learning algorithm
- model free
- temporal difference
- stochastic approximation
- markov decision processes
- transfer learning
- robotic control
- multi agent
- balancing exploration and exploitation
- reinforcement learning algorithms
- information visualization
- optimal policy
- learning process
- machine learning