Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training.
Gang ChenVictoria HuangPublished in: IJCAI (2023)
Keyphrases
- multi step
- reinforcement learning
- action space
- optimal policy
- continuous state spaces
- training set
- action selection
- state space
- lower bounding
- markov decision process
- policy search
- markov decision processes
- single step
- supervised learning
- neural network
- learning algorithm
- function approximation
- training samples
- k nearest neighbor
- ensemble methods
- tumor classification
- continuous state
- partially observable
- semi supervised
- reinforcement learning algorithms
- knn
- policy iteration
- function approximators
- lower bound
- training data
- rl algorithms
- reward function
- feature selection
- dynamic programming
- learning process
- markov decision problems
- policy gradient
- decision trees
- td learning