Estimation and Inference in Distributional Reinforcement Learning.
Liangyu ZhangYang PengJiadong LiangWenhao YangZhihua ZhangPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- robotic control
- accurate estimation
- estimation algorithm
- estimation accuracy
- reinforcement learning methods
- inference mechanism
- co occurrence
- bayesian inference
- multi agent
- learning classifier systems
- machine learning
- function approximators
- inference process
- reinforcement learning algorithms
- model free
- parameter estimation
- inference engine
- optimal control
- random fields
- belief networks
- learning problems
- markov decision processes