Exploration in Deep Reinforcement Learning: A Survey.
Pawel LadoszLilian WengMinwoo KimHyondong OhPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- exploration exploitation
- model based reinforcement learning
- action selection
- function approximation
- markov decision processes
- learning algorithm
- autonomous learning
- temporal difference
- machine learning
- state space
- exploration exploitation tradeoff
- multi agent reinforcement learning
- model free
- multi agent
- robotic control
- neural network
- temporal difference learning
- optimal control
- optimal policy
- dynamic programming
- real time
- deep learning
- database
- policy search
- website
- information systems
- data mining