Reinforcement Learning Architectures: SAC, TAC, and ESAC.
Ala'eddin MasadehZhengdao WangAhmed E. KamalPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- global optimization
- data sets
- machine learning
- function approximators
- temporal difference
- markov decision processes
- robotic control
- multi agent reinforcement learning
- reinforcement learning methods
- model free
- multi agent
- learning algorithm
- transfer learning
- optimal policy
- np complete
- access control
- supervised learning
- action selection
- dynamic programming
- learning capabilities
- trading agents
- genetic algorithm
- stochastic approximation
- neural network
- real time