Saved in:
| Main Authors: | Jost, Daniel, Paparusso, Luca, Stoll, Martin, Wagner, Jörg, Rajan, Raghu, Bödecker, Joschka |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.03463 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Don't double it: Efficient Agent Prediction in Occlusions
by: Rothenhäusler, Anna, et al.
Published: (2026)
by: Rothenhäusler, Anna, et al.
Published: (2026)
Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024)
by: Eckel, David, et al.
Published: (2024)
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
Trajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets
by: de Almeida, Tiago Rodrigues, et al.
Published: (2025)
by: de Almeida, Tiago Rodrigues, et al.
Published: (2025)
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
by: Guttikonda, Suresh, et al.
Published: (2023)
by: Guttikonda, Suresh, et al.
Published: (2023)
Latent Linear Quadratic Regulator for Robotic Control Tasks
by: Zhang, Yuan, et al.
Published: (2024)
by: Zhang, Yuan, et al.
Published: (2024)
The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
by: von Hartz, Jan Ole, et al.
Published: (2024)
by: von Hartz, Jan Ole, et al.
Published: (2024)
Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
by: Franco-Vivo, Manuel
Published: (2025)
by: Franco-Vivo, Manuel
Published: (2025)
Constrained Reinforcement Learning with Smoothed Log Barrier Function
by: Zhang, Baohe, et al.
Published: (2024)
by: Zhang, Baohe, et al.
Published: (2024)
Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving
by: Distelzweig, Aron, et al.
Published: (2026)
by: Distelzweig, Aron, et al.
Published: (2026)
The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning
by: von Hartz, Jan Ole, et al.
Published: (2025)
by: von Hartz, Jan Ole, et al.
Published: (2025)
MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation
by: von Hartz, Jan Ole, et al.
Published: (2025)
by: von Hartz, Jan Ole, et al.
Published: (2025)
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
by: Hallgarten, Marcel, et al.
Published: (2024)
by: Hallgarten, Marcel, et al.
Published: (2024)
Real-Time Forecasting of Driver-Vehicle Dynamics on 3D Roads: a Deep-Learning Framework Leveraging Bayesian Optimisation
by: Paparusso, Luca, et al.
Published: (2021)
by: Paparusso, Luca, et al.
Published: (2021)
Self-supervised learning predicts plant growth trajectories from multi-modal industrial greenhouse data
by: Riesselman, Adam J, et al.
Published: (2025)
by: Riesselman, Adam J, et al.
Published: (2025)
Confounding Robust Continuous Control via Automatic Reward Shaping
by: Juliani, Mateo, et al.
Published: (2026)
by: Juliani, Mateo, et al.
Published: (2026)
Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving
by: Distelzweig, Aron, et al.
Published: (2025)
by: Distelzweig, Aron, et al.
Published: (2025)
Accelerating trajectory optimization with Sobolev-trained diffusion policies
by: Hellard, Théotime Le, et al.
Published: (2026)
by: Hellard, Théotime Le, et al.
Published: (2026)
Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles
by: Braghin, Francesco, et al.
Published: (2022)
by: Braghin, Francesco, et al.
Published: (2022)
Spectral Alignment in Forward-Backward Representations via Temporal Abstraction
by: Azad, Seyed Mahdi B., et al.
Published: (2026)
by: Azad, Seyed Mahdi B., et al.
Published: (2026)
Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
by: Jiang, Sunshine, et al.
Published: (2025)
by: Jiang, Sunshine, et al.
Published: (2025)
A survey on robustness in trajectory prediction for autonomous vehicles
by: Hagenus, Jeroen, et al.
Published: (2024)
by: Hagenus, Jeroen, et al.
Published: (2024)
Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic
by: Valiente, Rodolfo, et al.
Published: (2022)
by: Valiente, Rodolfo, et al.
Published: (2022)
Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots
by: Mamedov, Shamil, et al.
Published: (2022)
by: Mamedov, Shamil, et al.
Published: (2022)
Pedestrian Behavior Prediction for Automated Driving: Requirements, Metrics, and Relevant Features
by: Herman, Michael, et al.
Published: (2020)
by: Herman, Michael, et al.
Published: (2020)
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning
by: Chen, Di, et al.
Published: (2023)
by: Chen, Di, et al.
Published: (2023)
Information-Theoretic Policy Pre-Training with Empowerment
by: Schneider, Moritz, et al.
Published: (2025)
by: Schneider, Moritz, et al.
Published: (2025)
RL Token: Bootstrapping Online RL with Vision-Language-Action Models
by: Xu, Charles, et al.
Published: (2026)
by: Xu, Charles, et al.
Published: (2026)
Physical Simulation for Multi-agent Multi-machine Tending
by: Abdalwhab, Abdalwhab, et al.
Published: (2024)
by: Abdalwhab, Abdalwhab, et al.
Published: (2024)
Interactive incremental learning of generalizable skills with local trajectory modulation
by: Knauer, Markus, et al.
Published: (2024)
by: Knauer, Markus, et al.
Published: (2024)
Exploring multimodal implicit behavior learning for vehicle navigation in simulated cities
by: Antonelo, Eric Aislan, et al.
Published: (2025)
by: Antonelo, Eric Aislan, et al.
Published: (2025)
E2R: a Hierarchical-Learning inspired Novelty-Search method to generate diverse repertoires of grasping trajectories
by: Huber, Johann, et al.
Published: (2022)
by: Huber, Johann, et al.
Published: (2022)
Learning Multi-agent Multi-machine Tending by Mobile Robots
by: Abdalwhab, Abdalwhab, et al.
Published: (2024)
by: Abdalwhab, Abdalwhab, et al.
Published: (2024)
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics
by: Paparusso, Luca, et al.
Published: (2024)
by: Paparusso, Luca, et al.
Published: (2024)
Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
by: Demmler, Tobias, et al.
Published: (2025)
by: Demmler, Tobias, et al.
Published: (2025)
FlowDrive: moderated flow matching with data balancing for trajectory planning
by: Wang, Lingguang, et al.
Published: (2025)
by: Wang, Lingguang, et al.
Published: (2025)
Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
by: Lin, Yuan, et al.
Published: (2024)
by: Lin, Yuan, et al.
Published: (2024)
Automatic AI controller that can drive with confidence: steering vehicle with uncertainty knowledge
by: Kumari, Neha, et al.
Published: (2024)
by: Kumari, Neha, et al.
Published: (2024)
The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
by: Hagedorn, Steffen, et al.
Published: (2023)
by: Hagedorn, Steffen, et al.
Published: (2023)
Robot Learning with Super-Linear Scaling
by: Torne, Marcel, et al.
Published: (2024)
by: Torne, Marcel, et al.
Published: (2024)
Similar Items
-
Don't double it: Efficient Agent Prediction in Occlusions
by: Rothenhäusler, Anna, et al.
Published: (2026) -
Revisiting Safe Exploration in Safe Reinforcement learning
by: Eckel, David, et al.
Published: (2024) -
Constrained Reinforcement Learning for Safe Heat Pump Control
by: Zhang, Baohe, et al.
Published: (2024) -
Trajectory prediction for heterogeneous agents: A performance analysis on small and imbalanced datasets
by: de Almeida, Tiago Rodrigues, et al.
Published: (2025) -
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
by: Guttikonda, Suresh, et al.
Published: (2023)