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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability NIPS 2024
The Value of Reward Lookahead in Reinforcement Learning NIPS 2024
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NIPS 2024
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning NIPS 2024
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression NIPS 2024
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning NIPS 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NIPS 2024
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation NIPS 2024
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL NIPS 2024
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NIPS 2024
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes NIPS 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning NIPS 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NIPS 2024
Offline Behavior Distillation NIPS 2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NIPS 2024
Rethinking Optimal Transport in Offline Reinforcement Learning NIPS 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation NIPS 2024
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff NIPS 2024
Off-Policy Selection for Initiating Human-Centric Experimental Design NIPS 2024
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation NIPS 2024
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning NIPS 2024
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning NIPS 2024
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024