SOTAVerified

Offline RL

Papers

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Showing 501–550 of 755 papers

TitleStatusHype
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning—0
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning—0
Mildly Constrained Evaluation Policy for Offline Reinforcement LearningCode0
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation—0
State Regularized Policy Optimization on Data with Dynamics Shift—0
Survival Instinct in Offline Reinforcement Learning—0
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning—0
Improving Offline RL by Blending Heuristics—0
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding—0
IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control—0
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?Code0
Robust Reinforcement Learning Objectives for Sequential Recommender SystemsCode0
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism—0
Beyond Reward: Offline Preference-guided Policy OptimizationCode0
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement LearningCode0
Offline Primal-Dual Reinforcement Learning for Linear MDPs—0
Offline Reinforcement Learning with Additional Covering Distributions—0
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models—0
SLiC-HF: Sequence Likelihood Calibration with Human Feedback—0
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning—0
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage—0
Towards Generalizable Reinforcement Learning for Trade Execution—0
Explaining RL Decisions with TrajectoriesCode0
What can online reinforcement learning with function approximation benefit from general coverage conditions?—0
Using Offline Data to Speed Up Reinforcement Learning in Procedurally Generated EnvironmentsCode0
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning—0
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement LearningCode0
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents—0
Enabling A Network AI Gym for Autonomous Cyber Agents—0
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization—0
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from ObservationsCode0
Finetuning from Offline Reinforcement Learning: Challenges, Trade-offs and Practical Solutions—0
Deep RL with Hierarchical Action Exploration for Dialogue Generation—0
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning—0
Deploying Offline Reinforcement Learning with Human Feedback—0
Graph Decision Transformer—0
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning—0
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Decision Transformer under Random Frame DroppingCode0
Learning to Control Autonomous Fleets from Observation via Offline Reinforcement LearningCode0
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning—0
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation—0
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function ApproximationCode0
Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications—0
Language Decision Transformers with Exponential Tilt for Interactive Text Environments—0
A Strong Baseline for Batch Imitation Learning—0
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage—0
Selective Uncertainty Propagation in Offline RL—0
Revisiting Bellman Errors for Offline Model SelectionCode0
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All datasetsD4RLWalker2d

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KFCAverage Reward81.8—Unverified
2ADMPOAverage Reward81—Unverified
3Decision Transformer (DT)Average Reward73.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ParPID4RL Normalized Score151.4—Unverified