Scaling Up Reinforcement Learning through Targeted Exploration.
Timothy A. MannYoonsuck ChoePublished in: AAAI (2011)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- exploration exploitation
- action selection
- model based reinforcement learning
- function approximation
- autonomous learning
- reinforcement learning algorithms
- state space
- markov decision processes
- exploration exploitation tradeoff
- temporal difference
- model free
- multi agent
- robotic control
- optimal control
- information visualization
- optimal policy
- transition model
- machine learning
- learning problems
- transfer learning
- action space
- active learning
- learning process
- decision making
- balancing exploration and exploitation