Autonomous Reinforcement Learning via Subgoal Curricula.
Archit SharmaAbhishek GuptaSergey LevineKarol HausmanChelsea FinnPublished in: NeurIPS (2021)
Keyphrases
- reinforcement learning
- autonomous learning
- function approximation
- cooperative
- computer science
- state space
- markov decision processes
- learning algorithm
- decentralized control
- reinforcement learning algorithms
- autonomous systems
- autonomous navigation
- goal oriented
- machine learning
- learning capabilities
- policy search
- action selection
- autonomous vehicles
- model free
- optimal control
- optimal policy
- dynamic programming
- active learning
- temporal difference
- partially observable
- multi agent reinforcement learning
- learning process
- artificial intelligence
- land vehicle
- autonomous mental development