SOTAVerified

Offline RL

Papers

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Showing 351–400 of 755 papers

TitleStatusHype
Representation Learning in Deep RL via Discrete Information Bottleneck—0
Representation Matters: Offline Pretraining for Sequential Decision Making—0
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning—0
Rethinking Decision Transformer via Hierarchical Reinforcement Learning—0
Revisiting Design Choices in Offline Model Based Reinforcement Learning—0
Offline Reinforcement Learning via Linear-Programming with Error-Bound Induced Constraints—0
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning—0
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning—0
Reward Shifting for Optimistic Exploration and Conservative Exploitation—0
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning—0
Robotic Offline RL from Internet Videos via Value-Function Pre-Training—0
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning—0
Robust Decision Transformer: Tackling Data Corruption in Offline RL via Sequence Modeling—0
Robust Offline Reinforcement Learning from Low-Quality Data—0
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation—0
Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization—0
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Scaling Offline RL via Efficient and Expressive Shortcut Models—0
Scaling Vision-and-Language Navigation With Offline RL—0
Selective Uncertainty Propagation in Offline RL—0
Self-Confirming Transformer for Belief-Conditioned Adaptation in Offline Multi-Agent Reinforcement Learning—0
Self-Driving Telescopes: Autonomous Scheduling of Astronomical Observation Campaigns with Offline Reinforcement Learning—0
Self-Play with Adversarial Critic: Provable and Scalable Offline Alignment for Language Models—0
Semi-gradient DICE for Offline Constrained Reinforcement Learning—0
Semi-supervised Offline Reinforcement Learning with Pre-trained Decision Transformers—0
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets—0
Improving Offline-to-Online Reinforcement Learning with Q Conditioned State Entropy Exploration—0
Settling the Communication Complexity for Distributed Offline Reinforcement Learning—0
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning—0
Should I Run Offline Reinforcement Learning or Behavioral Cloning?—0
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters—0
Single-Shot Pruning for Offline Reinforcement Learning—0
Data-Incremental Continual Offline Reinforcement Learning—0
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning—0
SLiC-HF: Sequence Likelihood Calibration with Human Feedback—0
Solving Continual Offline Reinforcement Learning with Decision Transformer—0
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces—0
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning—0
SR-Reward: Taking The Path More Traveled—0
State Advantage Weighting for Offline RL—0
State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning—0
State Regularized Policy Optimization on Data with Dynamics Shift—0
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments—0
Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC—0
Striving for Simplicity in Off-Policy Deep Reinforcement Learning—0
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning—0
Survival Instinct in Offline Reinforcement Learning—0
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—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