Effects of Sampling and Prediction Horizon in Reinforcement Learning.
Pavel OsinenkoDmitrii DobriborsciPublished in: IEEE Access (2021)
Keyphrases
- reinforcement learning
- prediction accuracy
- prediction model
- function approximation
- monte carlo
- learning algorithm
- function approximators
- prediction algorithm
- random sampling
- prediction error
- state space
- neural network
- motion estimation
- markov chain monte carlo
- reinforcement learning algorithms
- sampling rate
- sampling strategy
- robotic control