Research map / Reinforcement learning / MDPs and planning
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use future-dependent value functions with history proxies in minimax OPE | Off-policy evaluation in partially observable CartPole · CartPole synthetic dataset | MSE | Helped |
Closest papers by meaning
- On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation (NeurIPS 2024 · similarity 0.95)
- Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs (ICLR 2025 · similarity 0.90)
- Model-based Reinforcement Learning for Confounded POMDPs (ICML 2024 · similarity 0.88)
- A Policy Gradient Method for Confounded POMDPs (ICLR 2024 · similarity 0.87)
- RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation (NeurIPS 2024 · similarity 0.87)
- Sequential Monte Carlo for Policy Optimization in Continuous POMDPs (NeurIPS 2025 · similarity 0.87)
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