On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning.
Marc Aurel VischerRobert Tjarko LangeHenning SprekelerPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- optimal policy
- model free
- multi agent
- function approximation
- deep belief networks
- information systems
- function approximators
- symbolic representation
- unsupervised feature learning
- robotic control
- stochastic approximation
- temporal difference
- optimal control
- monte carlo
- bayesian networks