On Neural Consolidation for Transfer in Reinforcement Learning.
Valentin GuilletDennis G. WilsonCarlos Aguilar MelchorEmmanuel RachelsonPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- transfer learning
- fitted q iteration
- network architecture
- knowledge transfer
- function approximation
- cross domain
- neural network
- temporal difference learning
- optimal policy
- learning algorithm
- bio inspired
- supervised learning
- artificial neural
- sensory inputs
- neural model
- reinforcement learning algorithms
- dynamic programming
- model free
- state space
- transition model
- transferring knowledge
- genetic algorithm
- learning classifier systems
- multi agent
- learning process
- robot control
- data center
- spike trains
- multi agent reinforcement learning
- neural information processing
- data mining