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Showing 51–100 of 226 papers

TitleStatusHype
Offline Reinforcement Learning with In-sample Q-LearningCode1
Katakomba: Tools and Benchmarks for Data-Driven NetHackCode1
Anti-Exploration by Random Network DistillationCode1
Decision Transformer: Reinforcement Learning via Sequence ModelingCode1
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced DatasetsCode1
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement LearningCode1
Improving and Benchmarking Offline Reinforcement Learning AlgorithmsCode1
Adversarially Trained Actor Critic for Offline Reinforcement LearningCode1
Mildly Conservative Q-Learning for Offline Reinforcement LearningCode1
Offline Reinforcement Learning with Value-based Episodic MemoryCode1
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement LearningCode1
Conservative Offline Distributional Reinforcement LearningCode1
Reinformer: Max-Return Sequence Modeling for Offline RLCode1
When does return-conditioned supervised learning work for offline reinforcement learning?Code1
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 Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models—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
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL—0
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics—0
Learning Computational Efficient Bots with Costly Features—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
Hierarchical Decision Transformer—0
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning—0
Forward KL Regularized Preference Optimization for Aligning Diffusion Policies—0
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