Parrot: Data-Driven Behavioral Priors for Reinforcement Learning.
Avi SinghHuihan LiuGaoyue ZhouAlbert YuNicholas RhinehartSergey LevinePublished in: CoRR (2020)
Keyphrases
- data driven
- reinforcement learning
- function approximation
- bayesian framework
- state space
- selective perception
- machine learning
- multi agent
- reinforcement learning algorithms
- robotic control
- multi agent reinforcement learning
- agent behavior
- markov decision processes
- temporal difference learning
- prior information
- model free
- data sets
- temporal difference
- learning problems
- prior probabilities
- learning agents
- maximum a posteriori
- transfer learning
- e learning
- learned from training data
- data mining
- real world