SOTAVerified

Offline RL

Papers

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Showing 251–300 of 755 papers

TitleStatusHype
FOSP: Fine-tuning Offline Safe Policy through World Models—0
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient—0
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning—0
ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization—0
Enabling A Network AI Gym for Autonomous Cyber Agents—0
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL—0
Augmenting Offline RL with Unlabeled Data—0
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL—0
CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning—0
Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only—0
A Fast Convergence Theory for Offline Decision Making—0
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Learning to View: Decision Transformers for Active Object Detection—0
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer—0
Efficient Imitation Learning with Conservative World Models—0
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings—0
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning—0
Dual Generator Offline Reinforcement Learning—0
A Survey on Model-based Reinforcement Learning—0
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning—0
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning—0
DRDT3: Diffusion-Refined Decision Test-Time Training Model—0
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization—0
CDSA: Conservative Denoising Score-based Algorithm for Offline Reinforcement Learning—0
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage—0
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning—0
A Strong Baseline for Batch Imitation Learning—0
Causal prompting model-based offline reinforcement learning—0
DOMAIN: MilDly COnservative Model-BAsed OfflINe Reinforcement Learning—0
Domain Generalization for Robust Model-Based Offline Reinforcement Learning—0
Prior-Guided Diffusion Planning for Offline Reinforcement Learning—0
Learning Dexterous Manipulation from Suboptimal Experts—0
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning—0
Learning Value Functions from Undirected State-only Experience—0
Language Decision Transformers with Exponential Tilt for Interactive Text Environments—0
Domain Adaptation for Offline Reinforcement Learning with Limited Samples—0
Can Offline Reinforcement Learning Help Natural Language Understanding?—0
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches—0
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation—0
Enhancing Video Analytics Accuracy via Real-time Automated Camera Parameter Tuning—0
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity—0
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning—0
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains—0
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning—0
Advancing RAN Slicing with Offline Reinforcement Learning—0
ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data—0
Diffusion Self-Weighted Guidance for Offline Reinforcement Learning—0
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning—0
Budgeting Counterfactual for Offline RL—0
A Dual Approach to Imitation Learning from Observations with Offline Datasets—0
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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