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Offline RL

Papers

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Showing 551–600 of 755 papers

TitleStatusHype
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning—0
Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach—0
Targeted Environment Design from Offline Data—0
The Challenges of Exploration for Offline Reinforcement Learning—0
The Essential Elements of Offline RL via Supervised Learning—0
The Least Restriction for Offline Reinforcement Learning—0
The Pitfalls of Imitation Learning when Actions are Continuous—0
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning—0
The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line—0
The Role of Coverage in Online Reinforcement Learning—0
The Role of Inherent Bellman Error in Offline Reinforcement Learning with Linear Function Approximation—0
The Value of Reward Lookahead in Reinforcement Learning—0
The Virtues of Pessimism in Inverse Reinforcement Learning—0
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning—0
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers—0
Towards Flexible Inference in Sequential Decision Problems via Bidirectional Transformers—0
Towards Generalizable Reinforcement Learning for Trade Execution—0
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism—0
Towards Optimal Differentially Private Regret Bounds in Linear MDPs—0
Towards Optimizing Human-Centric Objectives in AI-Assisted Decision-Making With Offline Reinforcement Learning—0
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses—0
Tractable Offline Learning of Regular Decision Processes—0
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability—0
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding—0
Transferred Q-learning—0
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning—0
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning—0
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments—0
Uncertainty-aware Distributional Offline Reinforcement Learning—0
Uncertainty Regularized Policy Learning for Offline Reinforcement Learning—0
Uncertainty Weighted Offline Reinforcement Learning—0
Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization—0
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning—0
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents—0
Unsupervised-to-Online Reinforcement Learning—0
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing—0
User-Interactive Offline Reinforcement Learning—0
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning—0
Value Penalized Q-Learning for Recommender Systems—0
Variational oracle guiding for reinforcement learning—0
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach—0
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning—0
Wall Street Tree Search: Risk-Aware Planning for Offline Reinforcement Learning—0
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap—0
What are the Statistical Limits of Offline RL with Linear Function Approximation?—0
What Matters for Batch Online Reinforcement Learning in Robotics?—0
When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?—0
Which Features are Best for Successor Features?—0
Why Online Reinforcement Learning is Causal—0
Why so pessimistic? Estimating uncertainties for offline RL through ensembles, and why their independence matters.—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