Active Reinforcement Learning: Observing Rewards at a Cost.
David KruegerJan LeikeOwain EvansJohn SalvatierPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- markov decision processes
- function approximation
- learning algorithm
- reinforcement learning algorithms
- state space
- model free
- average cost
- optimal policy
- machine learning
- transfer learning
- dynamic programming
- learning process
- minimum cost
- high cost
- multi agent
- robotic control
- supply chain
- optimal control
- partially observable
- data sets
- control policy
- multi agent reinforcement learning
- bandit problems
- reward shaping