Future-Dependent Value-Based Off-Policy Evaluation in POMDPs.
Masatoshi UeharaHaruka KiyoharaAndrew BennettVictor ChernozhukovNan JiangNathan KallusChengchun ShiWen SunPublished in: CoRR (2022)
Keyphrases
- policy evaluation
- reinforcement learning
- partially observable markov decision processes
- markov decision processes
- least squares
- policy iteration
- monte carlo
- dynamic programming
- optimal policy
- model free
- temporal difference
- semi parametric
- belief state
- finite state
- markov decision problems
- partially observable
- dynamical systems
- state space
- function approximation
- linear programming
- variance reduction
- machine learning
- policy gradient
- decision making