SOTAVerified

Offline RL

Papers

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Showing 351–400 of 755 papers

TitleStatusHype
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning—0
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RLCode0
Stabilizing Extreme Q-learning by Maclaurin ExpansionCode0
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models—0
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning—0
Causal prompting model-based offline reinforcement learning—0
A Fast Convergence Theory for Offline Decision Making—0
Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning—0
Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory—0
Unified Preference Optimization: Language Model Alignment Beyond the Preference Frontier—0
AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained OptimizationCode0
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
Exclusively Penalized Q-learning for Offline Reinforcement Learning—0
Offline Reinforcement Learning from Datasets with Structured Non-StationarityCode0
Offline RL via Feature-Occupancy Gradient Ascent—0
Efficient Imitation Learning with Conservative World Models—0
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?Code0
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses—0
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning—0
Improving Offline Reinforcement Learning with Inaccurate Simulators—0
Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows—0
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning—0
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly—0
Offline Reinforcement Learning with Behavioral Supervisor Tuning—0
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems—0
Data-Incremental Continual Offline Reinforcement Learning—0
TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning AgentsCode0
Offline Trajectory Generalization for Offline Reinforcement Learning—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains—0
Generative Probabilistic Planning for Optimizing Supply Chain Networks—0
Compositional Conservatism: A Transductive Approach in Offline Reinforcement LearningCode0
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning—0
Scaling Vision-and-Language Navigation With Offline RL—0
Uncertainty-aware Distributional Offline Reinforcement Learning—0
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling—0
The Value of Reward Lookahead in Reinforcement Learning—0
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning—0
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning—0
Why Online Reinforcement Learning is Causal—0
Offline Fictitious Self-Play for Competitive Games—0
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic SpacesCode0
Offline Multi-task Transfer RL with Representational Penalization—0
Learning Goal-Conditioned Policies from Sub-Optimal Offline Data via Metric Learning—0
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning—0
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning—0
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning—0
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Benchmark Results

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