A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments.
Sindhu PadakandlaPublished in: CoRR (2020)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- model free
- markov decision processes
- dynamic environments
- state space
- multi agent environments
- reinforcement learning problems
- temporal difference
- eligibility traces
- reinforcement learning methods
- learning algorithm
- reward function
- function approximation
- stochastic games
- partially observable environments
- complex environments
- policy search
- active learning
- policy gradient
- optimal policy
- cost function
- monte carlo