Autonomous Reinforcement Learning: Formalism and Benchmarking.
Archit SharmaKelvin XuNikhil SardanaAbhishek GuptaKarol HausmanSergey LevineChelsea FinnPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- autonomous learning
- function approximation
- state space
- machine learning
- learning capabilities
- model free
- robotic control
- formal model
- multi agent reinforcement learning
- stochastic approximation
- markov decision processes
- learning problems
- learning algorithm
- cooperative
- temporal difference learning
- autonomous navigation
- temporal difference
- action selection
- optimal policy
- optimal control
- supervised learning
- logical framework
- bayesian networks
- multi agent systems
- neural network
- learning process
- service robots
- artificial intelligence
- learning agents
- reinforcement learning algorithms
- theoretical framework
- conceptual model
- robotic systems
- conceptual graphs
- situation calculus