On the Importance of Exploration for Generalization in Reinforcement Learning.
Yiding JiangJ. Zico KolterRoberta RaileanuPublished in: NeurIPS (2023)
Keyphrases
- reinforcement learning
- active exploration
- action selection
- model based reinforcement learning
- exploration exploitation
- function approximation
- exploration strategy
- machine learning
- multi agent
- temporal difference
- state space
- relative importance
- markov decision processes
- learning machines
- optimal control
- robotic control
- dynamic programming
- reinforcement learning methods
- exploration exploitation tradeoff
- database
- function approximators
- reinforcement learning algorithms
- model free
- learning problems
- transfer learning
- decision making
- databases