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What went wrong? closing the sim-to-real gap via differentiable causal discovery
Training control policies in simulation is more appealing than on real robots directly, as it
allows for exploring diverse states in an efficient manner. Yet, robot simulators inevitably …
allows for exploring diverse states in an efficient manner. Yet, robot simulators inevitably …
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Verification and validation of autonomous driving (AD) systems and components is of
increasing importance, as such technology increases in real-world prevalence. Safety …
increasing importance, as such technology increases in real-world prevalence. Safety …
Enhancing Vision-Language Models with Scene Graphs for Traffic Accident Understanding
A Lohner, F Compagno, J Francis… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Recognizing a traffic accident is an essential part of any autonomous driving or road
monitoring system. An accident can appear in a wide variety of forms, and understanding …
monitoring system. An accident can appear in a wide variety of forms, and understanding …
Co-Evolving Environments and Agents for Physical-World Deployments
P Huang - 2024 - search.proquest.com
In the past decade, Reinforcement Learning (RL) has made substantial strides across a
variety of domains, including chess, video games, robotics, and human preference …
variety of domains, including chess, video games, robotics, and human preference …