Image de couverture de livre

Simulation-Based Counterfactual Causal Discovery on Real World Driver Behaviour

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Howard, Rhys, Kunze, Lars
Format:	Preprint
Publié:	2023
Sujets:	Robotics Artificial Intelligence I.2.9; I.2.6; I.6.0
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Generating Causal Explanations of Vehicular Agent Behavioural Interactions with Learnt Reward Profiles
par: Howard, Rhys, et autres
Publié: (2025)

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour
par: Howard, Rhys, et autres
Publié: (2023)

Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs
par: Maci, Enrik, et autres
Publié: (2023)

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment
par: Aida, Adriana, et autres
Publié: (2026)

Predictive Traffic Rule Compliance using Reinforcement Learning
par: Huang, Yanliang, et autres
Publié: (2025)

Energy-Efficient Quadruped Locomotion with Compliant Feet
par: Pal, Pramod, et autres
Publié: (2026)

Robo-CSK-Organizer: Commonsense Knowledge to Organize Detected Objects for Multipurpose Robots
par: Hidalgo, Rafael, et autres
Publié: (2024)

Conservative Bias in Multi-Teacher Learning: Why Agents Prefer Low-Reward Advisors
par: Mesto, Maher, et autres
Publié: (2025)

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies
par: Qin, Xue, et autres
Publié: (2026)

Magnet-Based Soft Robotic Skin Using a 3D-Printed Multi-Lattice Structure and CNN-Based Tactile Super-Resolution
par: Bang, Yunseong, et autres
Publié: (2026)

Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
par: Chaarani, Alaaeddine, et autres
Publié: (2026)

ScoRe-Flow: Complete Distributional Control via Score-Based Reinforcement Learning for Flow Matching
par: Qiu, Xiaotian, et autres
Publié: (2026)

CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments
par: Hong, Hong, et autres
Publié: (2026)

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
par: Marchiori, Francesco, et autres
Publié: (2025)

DRAE: Dynamic Retrieval-Augmented Expert Networks for Lifelong Learning and Task Adaptation in Robotics
par: Long, Yayu, et autres
Publié: (2025)

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
par: Xu, Hengxuan, et autres
Publié: (2026)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
par: Yao, Huaiyuan, et autres
Publié: (2025)

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
par: Wang, Zizhao, et autres
Publié: (2024)

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
par: Daba, Mohammed, et autres
Publié: (2025)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
par: Romero, Angel, et autres
Publié: (2025)

COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertainty
par: Cannizzaro, Ricardo, et autres
Publié: (2024)

SPACeR: Self-Play Anchoring with Centralized Reference Models
par: Chang, Wei-Jer, et autres
Publié: (2025)

SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
par: Shi, Xiang, et autres
Publié: (2026)

When Does Adaptive Guidance Help? Belief-Aware Privileged Distillation for Autonomous Driving Under Partial Observability
par: Haklidir, Mehmet
Publié: (2026)

CUPID: Curating Data your Robot Loves with Influence Functions
par: Agia, Christopher, et autres
Publié: (2025)

MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
par: Chen, Yuxin, et autres
Publié: (2024)

Towards a Robust Soft Baby Robot With Rich Interaction Ability for Advanced Machine Learning Algorithms
par: Alhakami, Mohannad, et autres
Publié: (2024)

MTDrive: Multi-turn Interactive Reinforcement Learning for Autonomous Driving
par: Li, Xidong, et autres
Publié: (2026)

GammaZero: Learning To Guide POMDP Belief Space Search With Graph Representations
par: Mangannavar, Rajesh, et autres
Publié: (2025)

Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving
par: Peng, Zhenghao, et autres
Publié: (2024)

CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs
par: Drayson, George, et autres
Publié: (2023)

LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
par: Chang, Wei-Jer, et autres
Publié: (2025)

What Teaches Robots to Walk, Teaches Them to Trade too -- Regime Adaptive Execution using Informed Data and LLMs
par: Saqur, Raeid
Publié: (2024)

PhAIL: A Real-Robot VLA Benchmark and Distributional Methodology
par: Arkhangelskiy, Sergey
Publié: (2026)

RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
par: Alt, Benjamin, et autres
Publié: (2024)

Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model
par: Hathaway, Jamie, et autres
Publié: (2023)

WayFASTER: a Self-Supervised Traversability Prediction for Increased Navigation Awareness
par: Gasparino, Mateus Valverde, et autres
Publié: (2024)

Selective Progress-Aware Querying for Human-in-the-Loop Reinforcement Learning
par: Muraleedharan, Anujith, et autres
Publié: (2025)

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting
par: Hathaway, Jamie, et autres
Publié: (2026)

Multi-Agent Pathfinding with Non-Unit Integer Edge Costs via Enhanced Conflict-Based Search and Graph Discretization
par: Fan, Hongkai, et autres
Publié: (2026)