Revisiting Exploration-Conscious Reinforcement Learning.
Lior ShaniYonathan EfroniShie MannorPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- model based reinforcement learning
- action selection
- function approximation
- exploration exploitation
- autonomous learning
- state space
- optimal policy
- markov decision processes
- model free
- reinforcement learning algorithms
- learning algorithm
- exploration exploitation tradeoff
- robotic control
- information visualization
- supervised learning
- control problems
- markov decision process
- transfer learning
- active learning
- learning process
- control policy
- learning agents
- multi agent reinforcement learning
- relational reinforcement learning
- dynamic programming
- balancing exploration and exploitation
- machine learning