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Offline RL

Papers

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Showing 251–300 of 755 papers

TitleStatusHype
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement LearningCode1
The Virtues of Pessimism in Inverse Reinforcement Learning—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning—0
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient UpdateCode1
Context-Former: Stitching via Latent Conditioned Sequence Modeling—0
Multi-Object Navigation in real environments using hybrid policies—0
Differentiable Tree Search NetworkCode5
Solving Offline Reinforcement Learning with Decision Tree RegressionCode0
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning—0
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion ModelCode2
Harnessing Density Ratios for Online Reinforcement Learning—0
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy LearningCode0
Solving Continual Offline Reinforcement Learning with Decision Transformer—0
Learning from Sparse Offline Datasets via Conservative Density EstimationCode0
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization—0
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement LearningCode0
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond—0
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning—0
Policy-regularized Offline Multi-objective Reinforcement LearningCode0
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement LearningCode0
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning—0
Online Symbolic Music Alignment with Offline Reinforcement LearningCode1
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement LearningCode1
Critic-Guided Decision Transformer for Offline Reinforcement LearningCode1
Neural Network Approximation for Pessimistic Offline Reinforcement Learning—0
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning—0
Advancing RAN Slicing with Offline Reinforcement Learning—0
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachCode1
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning—0
The Generalization Gap in Offline Reinforcement LearningCode1
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization—0
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman OperatorCode0
Evaluation of Active Feature Acquisition Methods for Static Feature Settings—0
Diffused Task-Agnostic Milestone Planner—0
H-GAP: Humanoid Control with a Generalist Planner—0
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy EvaluationCode1
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets—0
Offline Data Enhanced On-Policy Policy Gradient with Provable GuaranteesCode0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
A Tractable Inference Perspective of Offline RL—0
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity—0
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement LearningCode1
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised LearningCode1
Robust Offline Reinforcement learning with Heavy-Tailed RewardsCode0
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data CoverageCode0
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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