Model-Based Reinforcement Learning in Contextual Decision Processes.
Wen SunNan JiangAkshay KrishnamurthyAlekh AgarwalJohn LangfordPublished in: CoRR (2018)
Keyphrases
- decision processes
- model based reinforcement learning
- markov decision processes
- markov decision problems
- state space
- finite state
- optimal policy
- dynamic programming
- partially observable
- reinforcement learning
- decision process
- infinite horizon
- decision problems
- machine learning
- reasoning process
- knowledge discovery
- decision making