Modern Deep Reinforcement Learning Algorithms.
Sergey IvanovAlexander D'yakonovPublished in: CoRR (2019)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- state space
- model free
- markov decision processes
- reinforcement learning problems
- eligibility traces
- temporal difference
- function approximation
- reinforcement learning methods
- learning algorithm
- policy search
- reward function
- dynamic environments
- stochastic games
- partially observable environments
- policy iteration
- basis functions
- monte carlo