ProtoX: Explaining a Reinforcement Learning Agent via Prototyping.
Ronilo J. RagodosTong WangQihang LinXun ZhouPublished in: NeurIPS (2022)
Keyphrases
- learning agent
- reinforcement learning
- state space
- solving problems
- function approximation
- learning algorithm
- learning capabilities
- model free
- reinforcement learning algorithms
- learning tasks
- selective perception
- markov decision processes
- action selection
- transfer learning
- dynamic programming
- learning process
- single agent
- multi agent
- optimal policy
- semi supervised
- domain knowledge
- training data