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Showing 51–100 of 226 papers

TitleStatusHype
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration BiasCode1
Model-Bellman Inconsistency for Model-based Offline Reinforcement LearningCode1
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement LearningCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
Anti-Exploration by Random Network DistillationCode1
M^3PC: Test-time Model Predictive Control for Pretrained Masked Trajectory ModelCode1
Katakomba: Tools and Benchmarks for Data-Driven NetHackCode1
Improving and Benchmarking Offline Reinforcement Learning AlgorithmsCode1
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingCode1
Are Expressive Models Truly Necessary for Offline RL?Code1
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value RegularizationCode1
Conservative Offline Distributional Reinforcement LearningCode1
Revisiting the Minimalist Approach to Offline Reinforcement LearningCode1
CROP: Conservative Reward for Model-based Offline Policy OptimizationCode1
Diffusion Policies creating a Trust Region for Offline Reinforcement LearningCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
Implicit Behavioral CloningCode1
Diffusion Model Predictive Control—0
Budgeting Counterfactual for Offline RL—0
DiffuserLite: Towards Real-time Diffusion Planning—0
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching—0
Boosting Offline Reinforcement Learning with Action Preference Query—0
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning—0
DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning—0
Boosting Offline Reinforcement Learning via Data Rebalancing—0
Addressing Distribution Shift in Online Reinforcement Learning with Offline Datasets—0
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning—0
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning—0
Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network—0
Decision SpikeFormer: Spike-Driven Transformer for Decision Making—0
Align Your Intents: Offline Imitation Learning via Optimal Transport—0
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling—0
DCE: Offline Reinforcement Learning With Double Conservative Estimates—0
Improving Behavioural Cloning with Positive Unlabeled Learning—0
Accelerating Residual Reinforcement Learning with Uncertainty Estimation—0
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach—0
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning—0
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning—0
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics—0
Learning Computational Efficient Bots with Costly Features—0
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models—0
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning—0
Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL—0
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning—0
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning—0
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning—0
Hierarchical Decision Transformer—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery—0
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