Safe Reinforcement Learning with Linear Function Approximation.
Sanae AmaniChristos ThrampoulidisLin YangPublished in: ICML (2021)
Keyphrases
- function approximation
- reinforcement learning
- temporal difference learning algorithms
- function approximators
- temporal difference learning
- mountain car
- reinforcement learning algorithms
- tile coding
- learning tasks
- model free
- temporal difference
- state action space
- state space
- radial basis function
- td learning
- policy evaluation
- temporal difference methods
- optimal control
- multi agent
- machine learning
- data mining
- neural network
- markov decision processes
- optimal policy
- reinforcement learning problems
- dynamic programming
- e learning
- learning algorithm