| Doe-1: Closed-Loop Autonomous Driving with Large World Model | Dec 12, 2024 | Autonomous DrivingDecision Making | CodeCode Available | 2 |
| A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models | Oct 21, 2024 | Decision MakingMulti-agent Reinforcement Learning | CodeCode Available | 2 |
| DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation | Nov 18, 2024 | Autonomous DrivingDecision Making | CodeCode Available | 2 |
| Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning | May 26, 2025 | Decision MakingHierarchical Reinforcement Learning | CodeCode Available | 2 |
| Distribution-Free, Risk-Controlling Prediction Sets | Jan 7, 2021 | BIG-bench Machine LearningClassification | CodeCode Available | 2 |
| Do As I Can, Not As I Say: Grounding Language in Robotic Affordances | Apr 4, 2022 | Decision MakingLanguage Modeling | CodeCode Available | 2 |
| Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving | Oct 3, 2023 | Action GenerationAutonomous Driving | CodeCode Available | 2 |
| Digital Player: Evaluating Large Language Models based Human-like Agent in Games | Feb 28, 2025 | Decision Making | CodeCode Available | 2 |
| DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models | Sep 28, 2023 | 10-shot image generation1 Image, 2*2 Stitchi | CodeCode Available | 2 |
| Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching | Dec 16, 2020 | Combinatorial OptimizationDecision Making | CodeCode Available | 2 |
