Replicable Reinforcement Learning.
Eric EatonMarcel HussingMichael KearnsJessica SorrellPublished in: NeurIPS (2023)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- model free
- markov decision processes
- machine learning
- robotic control
- state space
- optimal policy
- temporal difference
- learning algorithm
- artificial neural networks
- learning process
- multi agent reinforcement learning
- action selection
- evolutionary learning
- reinforcement learning methods
- stochastic approximation
- direct policy search
- multi agent
- database
- perceptual aliasing
- function approximators
- artificial intelligence
- decision making
- bayesian networks
- support vector