Learning to Identify Critical States for Reinforcement Learning from Videos.
Haozhe LiuMingchen ZhugeBing LiYuhui WangFrancesco FaccioBernard GhanemJürgen SchmidhuberPublished in: ICCV (2023)
Keyphrases
- reinforcement learning
- learning process
- learning algorithm
- supervised learning
- learning systems
- learning problems
- function approximation
- video sequences
- online learning
- learning tasks
- machine learning
- autonomous learning
- decision trees
- neural network
- video frames
- markov decision processes
- optimal control
- state action
- temporal difference learning
- reinforcement learning methods
- rl algorithms
- previously learned
- multi agent reinforcement learning
- actor critic
- state abstraction