Prioritizing Starting States for Reinforcement Learning.
Arash TavakoliVitaly LevdikRiashat IslamPetar KormushevPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- perceptual aliasing
- state abstraction
- transition model
- function approximation
- markov decision problems
- starting point
- learning algorithm
- state space
- optimal policy
- state action
- reinforcement learning algorithms
- machine learning
- model free
- markov decision processes
- finite state machines
- temporal difference
- learning problems
- initial state
- multi agent
- data sets
- state transition
- learning capabilities
- requirements engineering
- robot control
- temporal difference learning
- dynamic programming
- active learning