Autonomous Driving Symposium 2023

Co-organized the ML4AD co-located with NeurIPS

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Publications

Learning-based control approaches have shown great promise in performing complex tasks directly from high-dimensional perception data …

Robust planning in interactive scenarios requires predicting the uncertain future to make risk-aware decisions. Unfortunately, due to …

Robots in complex multi-agent environments should reason about the intentions of observed and currently unobserved agents. In this …

Autonomous vehicle software is typically structured as a modular pipeline of individual components (e.g., perception, prediction, and …

The ability to learn reward functions plays an important role in enabling the deployment of intelligent agents in the real world. …

Reasoning about the future behavior of other agents is critical to safe robot navigation. The multiplicity of plausible futures is …

Humans have a remarkable ability to make decisions by accurately reasoning about future events, including the future behaviors and …

While reinforcement learning algorithms provide automated acquisition of optimal policies, practical application of such methods …

Out-of-training-distribution (OOD) scenarios are a common challenge of learning agents at deployment, typically leading to arbitrary …

We study how representation learning can accelerate reinforcement learning from rich observations, such as images, without relying …

Transporting suspended payloads is challenging for autonomous aerial vehicles because the payload can cause significant and …

Forecasting the motion of multiple interacting vehicles. When one is autonmous, conditioning on its goals helps better-predict the …

Deep learning provides a powerful tool for machine perception when the observations resemble the training data. However, real-world …

Model-based reinforcement learning (RL) algorithms can attain excellent sample efficiency, but often lag behind the best model-free …

Imitation Learning (IL) is an appealing approach to learn desirable autonomous behavior. However, directing IL to achieve arbitrary …

Workshops

Neural Information Processing Systems (NeurIPS) 2022

International Conference on Robotics and Automation (ICRA) 2022

Neural Information Processing Systems (NeurIPS) 2021

International Conference on Computer Vision (ICCV) 2021

International Conference on Computer Vision (ICCV) 2021

Neural Information Processing Systems (NeurIPS) 2020

European Conference on Computer Vision (ECCV) 2020

International Conference on Machine Learning (ICML) 2020

Robotics Science and Systems (RSS) 2020