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Offline RL

Papers

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Showing 651–700 of 755 papers

TitleStatusHype
Launchpad: Learning to Schedule Using Offline and Online RL Methods—0
Learning Dexterous Manipulation from Suboptimal Experts—0
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning—0
Learning to Clarify by Reinforcement Learning Through Reward-Weighted Fine-Tuning—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Learning to View: Decision Transformers for Active Object Detection—0
Learning Value Functions from Undirected State-only Experience—0
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains—0
Leveraging Offline Data in Online Reinforcement Learning—0
Leveraging Optimal Transport for Enhanced Offline Reinforcement Learning in Surgical Robotic Environments—0
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble—0
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning—0
Language Decision Transformers with Exponential Tilt for Interactive Text Environments—0
Measurement Scheduling for ICU Patients with Offline Reinforcement Learning—0
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning—0
Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning—0
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization—0
Model-Based Offline Planning—0
Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation—0
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds—0
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation—0
Model Generation with Provable Coverability for Offline Reinforcement Learning—0
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning—0
MOORL: A Framework for Integrating Offline-Online Reinforcement Learning—0
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning—0
MOReL: Model-Based Offline Reinforcement Learning—0
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning—0
Multi-Objective Decision Transformers for Offline Reinforcement Learning—0
Multi-Objective-Optimization Multi-AUV Assisted Data Collection Framework for IoUT Based on Offline Reinforcement Learning—0
Multi-Object Navigation in real environments using hybrid policies—0
Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning—0
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game—0
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction—0
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning—0
Neural Network Approximation for Pessimistic Offline Reinforcement Learning—0
Off-dynamics Conditional Diffusion Planners—0
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control—0
Offline Actor-Critic Reinforcement Learning Scales to Large Models—0
Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives—0
Offline Fictitious Self-Play for Competitive Games—0
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies—0
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare—0
Offline Inverse Reinforcement Learning—0
Offline Model-Based Reinforcement Learning with Anti-Exploration—0
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization—0
Offline Multi-task Transfer RL with Representational Penalization—0
Offline Policy Evaluation and Optimization under Confounding—0
Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data—0
Offline Policy Optimization in RL with Variance Regularizaton—0
Offline Policy Optimization with Variance Regularization—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