- Scalable Reinforcement Learning Algorithms.
J. Paul BrooksTed RalphsNicola SecomandiPublished in: INFORMS J. Comput. (2022)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- model free
- markov decision processes
- reinforcement learning problems
- eligibility traces
- reinforcement learning methods
- temporal difference
- function approximation
- learning algorithm
- policy search
- stochastic games
- dynamic environments
- reward function
- neural network
- partially observable environments
- optimal policy
- dynamic programming
- search algorithm
- state variables
- supervised learning
- least squares
- wavelet transform
- multiagent reinforcement learning