Environment Shaping in Reinforcement Learning using State Abstraction.
Parameswaran KamalarubanRati DevidzeVolkan CevherAdish SinglaPublished in: CoRR (2020)
Keyphrases
- state abstraction
- reinforcement learning
- state space
- markov decision processes
- reinforcement learning agents
- reward shaping
- hierarchical reinforcement learning
- initial state
- reinforcement learning algorithms
- path finding
- mobile robot
- dynamic environments
- function approximation
- optimal policy
- supervised learning
- temporal difference
- learning agent
- multi agent
- machine learning