Model-based Reinforcement Learning for Parameterized Action Spaces.
Renhao ZhangHaotian FuYilin MiaoGeorge KonidarisPublished in: CoRR (2024)
Keyphrases
- model based reinforcement learning
- action space
- markov decision processes
- state space
- reinforcement learning
- finite state
- optimal policy
- dynamic programming
- average cost
- markov decision problems
- partially observable
- decision processes
- policy iteration
- infinite horizon
- reward function
- machine learning
- sufficient conditions
- real valued
- function approximation
- action selection
- hidden markov models