Tightening Exploration in Upper Confidence Reinforcement Learning.
Hippolyte BourelOdalric MaillardMohammad Sadegh TalebiPublished in: ICML (2020)
Keyphrases
- reinforcement learning
- reactive planning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- function approximation
- model based reinforcement learning
- autonomous learning
- markov decision processes
- reinforcement learning algorithms
- temporal difference
- model free
- state space
- dynamic programming
- multi agent
- control structure
- exploration exploitation tradeoff
- multi agent reinforcement learning
- machine learning
- optimal control
- learning problems
- transfer learning
- learning algorithm
- policy search
- optimal policy
- robotic control
- parameter estimation
- visual features