Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning.
Nirbhay ModhePrithvijit ChattopadhyayMohit SharmaAbhishek DasDevi ParikhDhruv BatraRamakrishna VedantamPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- perceptual aliasing
- transfer learning
- decision making
- function approximation
- state abstraction
- state action
- markov decision problems
- knowledge transfer
- temporal difference
- transition model
- reinforcement learning algorithms
- decision rules
- optimal policy
- decision makers
- decision problems
- state space
- multi agent reinforcement learning
- decision processes
- decision model
- decision process
- markov decision processes
- dynamic programming
- learning algorithm
- machine learning
- action selection
- state transition
- cross domain
- data sets
- previously learned
- multi agent