Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation.
Yu ChenXiangcheng ZhangSiwei WangLongbo HuangPublished in: CoRR (2024)
Keyphrases
- function approximation
- reinforcement learning
- risk sensitive
- model free
- optimal control
- markov decision processes
- temporal difference
- function approximators
- reinforcement learning algorithms
- temporal difference learning
- learning tasks
- machine learning
- learning algorithm
- artificial neural networks
- decision theoretic
- radial basis function
- utility function
- action selection
- neural network
- policy iteration
- multi agent
- control policies