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D4RL

Papers

Showing 151200 of 226 papers

TitleStatusHype
When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement LearningCode1
Conservative State Value Estimation for Offline Reinforcement LearningCode0
Skill Decision TransformerCode0
Anti-Exploration by Random Network DistillationCode1
Improving Behavioural Cloning with Positive Unlabeled Learning0
Model-based Offline Reinforcement Learning with Local Misspecification0
Extreme Q-Learning: MaxEnt RL without EntropyCode1
Model-based trajectory stitching for improved behavioural cloning and its applications0
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsCode0
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery0
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators0
Offline Reinforcement Learning with Adaptive Behavior Regularization0
Contextual Transformer for Offline Meta Reinforcement Learning0
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement LearningCode1
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint RelaxationCode0
Boosting Offline Reinforcement Learning via Data Rebalancing0
A Policy-Guided Imitation Approach for Offline Reinforcement LearningCode1
Mutual Information Regularized Offline Reinforcement LearningCode0
CORL: Research-oriented Deep Offline Reinforcement Learning LibraryCode3
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics BeliefCode0
Semi-Supervised Offline Reinforcement Learning with Action-Free TrajectoriesCode1
State Advantage Weighting for Offline RL0
Conservative Bayesian Model-Based Value Expansion for Offline Policy OptimizationCode0
Offline Reinforcement Learning via High-Fidelity Generative Behavior ModelingCode1
DCE: Offline Reinforcement Learning With Double Conservative Estimates0
Hierarchical Decision Transformer0
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RLCode0
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement LearningCode2
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning0
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based ImaginationCode0
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement LearningCode1
Mildly Conservative Q-Learning for Offline Reinforcement LearningCode1
On the Role of Discount Factor in Offline Reinforcement Learning0
When does return-conditioned supervised learning work for offline reinforcement learning?Code1
Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL0
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence MattersCode0
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement LearningCode1
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement LearningCode1
A Behavior Regularized Implicit Policy for Offline Reinforcement Learning0
cosFormer: Rethinking Softmax in AttentionCode1
Flowformer: Linearizing Transformers with Conservation FlowsCode2
Online Decision TransformerCode2
Adversarially Trained Actor Critic for Offline Reinforcement LearningCode1
MOORe: Model-based Offline-to-Online Reinforcement Learning0
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization0
Quantile Filtered Imitation Learning0
d3rlpy: An Offline Deep Reinforcement Learning LibraryCode0
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics0
False Correlation Reduction for Offline Reinforcement LearningCode1
Offline Reinforcement Learning with Value-based Episodic MemoryCode1
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