Scenario-Assisted Deep Reinforcement Learning.
Raz YerushalmiGuy AmirAchiya ElyasafDavid HarelGuy KatzAssaf MarronPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- function approximation
- model free
- state space
- temporal difference
- dynamic programming
- function approximators
- evolutionary algorithm
- learning algorithm
- partially observable
- markov decision processes
- real world
- optimal control
- action selection
- temporal difference learning
- application scenarios
- real time
- policy search
- learning classifier systems
- transfer learning
- multi agent
- machine learning
- databases