Co-occurring keywords · papers mentioning both
Papers
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
L4DC 2026
Best-Effort Policies for Robust Markov Decision Processes
AAAI 2026
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation
ICLR 2025
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
AAAI 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
NeurIPS 2024
Multi-Strategy Deployment-Time Learning and Adaptation for Navigation under Uncertainty
CoRL 2024
SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
AAAI 2024
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
ICLR 2024
Composing Efficient, Robust Tests for Policy Selection
UAI 2023
Model-Based Offline Reinforcement Learning with Local Misspecification
AAAI 2023
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
NeurIPS 2023
Offline Policy Selection under Uncertainty
AISTATS 2022
Active Offline Policy Selection
NeurIPS 2021
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting
AISTATS 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning
NeurIPS 2021
Importance Sampling for Fair Policy Selection
IJCAI 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
NeurIPS 2017
Lower Bounds and Selectivity of Weak-Consistent Policies in Stochastic Multi-Armed Bandit Problem
JMLR 2013
Goal-directed decision making in prefrontal cortex: a computational framework
NeurIPS 2008