Jeff Schneider

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning.
CoRR, 2024

Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization.
CoRR, 2024

Planning with Adaptive World Models for Autonomous Driving.
CoRR, 2024

2020
Interactive Visualization for Debugging RL.
CoRR, 2020

Vizarel: A System to Help Better Understand RL Agents.
CoRR, 2020

Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories.
CoRR, 2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks.
CoRR, 2018

2016
Bayesian Optimization and Embedded Learning Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2005
Panel: business constraints drive test decisions.
Proceedings of the Proceedings 2005 IEEE International Test Conference, 2005


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