QD-RL: Efficient Mixing of Quality and Diversity in Reinforcement Learning.
Geoffrey CideronThomas PierrotNicolas PerrinKarim BeguirOlivier SigaudPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- state space
- function approximation
- markov decision processes
- model free
- high quality
- learning algorithm
- multi agent
- optimal policy
- reinforcement learning algorithms
- supervised learning
- action selection
- rl algorithms
- state and action spaces
- multi agent reinforcement learning
- continuous state
- complex domains
- learning problems
- transfer learning
- dynamic programming