Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.
Andrea BaiseroChristopher AmatoPublished in: CoRR (2021)
Keyphrases
- partially observable
- actor critic
- reinforcement learning
- markov decision processes
- reinforcement learning algorithms
- state space
- policy iteration
- temporal difference
- optimal control
- function approximation
- approximate dynamic programming
- infinite horizon
- markov decision problems
- model free
- average reward
- policy gradient
- optimal policy
- reward function
- rl algorithms
- reinforcement learning methods
- partially observable environments
- dynamic programming
- transfer learning
- multi agent
- learning algorithm
- dynamical systems
- dynamic environments
- supervised learning
- machine learning
- decision problems
- heuristic search
- function approximators
- gradient method
- search algorithm
- optimal solution