Jeff Schneider

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 44

Top Topics

Motion Prediction

Interactive Visual

Reinforcement Learning

Eligibility Traces

Top Venues

IEEE Robotics Autom. Lett.

Publications

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR (2024)
Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
Planning with Adaptive World Models for Autonomous Driving. CoRR (2024)
Wentse Chen, Shiyu Huang, Jeff Schneider
Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization. CoRR (2024)
Ian Char, Jeff Schneider
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks. NeurIPS (2023)
Anirudha Ramesh, Anurag Ghosh, Christoph Mertz, Jeff Schneider
Enhancing Visual Domain Adaptation with Source Preparation. CoRR (2023)
Conor Igoe, Youngseog Chung, Ian Char, Jeff Schneider
How Useful are Gradients for OOD Detection Really? CoRR (2022)
David Guttendorf, D. W. Wilson Hamilton, Anne Harris Heckman, Herman Herman, Felix Jonathan, Prasanna Kannappan, Nicholas Mireles, Luis E. Navarro-Serment, Jean Oh, Wei Pu, Rohan Saxena, Jeff Schneider, Matt Schnur, Carter Tiernan, Trenton Tabor
UGV-UAV Object Geolocation in Unstructured Environments. CoRR (2022)
Yeeho Song, Jeff Schneider
Robust Reinforcement Learning via Genetic Curriculum. CoRR (2022)
Conor Igoe, Ramina Ghods, Jeff Schneider
Multi-Agent Active Search: A Reinforcement Learning Approach. IEEE Robotics Autom. Lett. 7 (2) (2022)
Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider
SBEVNet: End-to-End Deep Stereo Layout Estimation. WACV (2022)
Yeeho Song, Jeff Schneider
Robust Reinforcement Learning via Genetic Curriculum. ICRA (2022)
Adam R. Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. ICML (2022)
Viraj Mehta, Biswajit Paria, Jeff Schneider, Stefano Ermon, Willie Neiswanger
An Experimental Design Perspective on Model-Based Reinforcement Learning. ICLR (2022)
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Multi-Agent Active Search using Detection and Location Uncertainty. CoRR (2022)
Viraj Mehta, Ian Char, Joseph Abbate, Rory Conlin, Mark D. Boyer, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Exploration via Planning for Information about the Optimal Trajectory. CoRR (2022)
Adam Villaflor, Zhe Huang, Swapnil Pande, John M. Dolan, Jeff Schneider
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning. CoRR (2022)
Arundhati Banerjee, Ramina Ghods, Jeff Schneider
Cost Aware Asynchronous Multi-Agent Active Search. CoRR (2022)
Ian Char, Viraj Mehta, Adam Villaflor, John M. Dolan, Jeff Schneider
BATS: Best Action Trajectory Stitching. CoRR (2022)
Ramina Ghods, William J. Durkin, Jeff Schneider
Multi-Agent Active Search using Realistic Depth-Aware Noise Model. ICRA (2021)
Tanmay Agarwal, Hitesh Arora, Jeff Schneider
Affordance-based Reinforcement Learning for Urban Driving. CoRR (2021)
Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider
SBEVNet: End-to-End Deep Stereo Layout Estimation. CoRR (2021)
Ramina Ghods, Arundhati Banerjee, Jeff Schneider
Decentralized multi-agent active search for sparse signals. UAI (2021)
Tanmay Agarwal, Hitesh Arora, Jeff Schneider
Learning Urban Driving Policies using Deep Reinforcement Learning. ITSC (2021)
Zhiqian Qiao, Jeff Schneider, John M. Dolan
. ICRA (2021)
Shuby Deshpande, Benjamin Eysenbach, Jeff Schneider
Interactive Visualization for Debugging RL. CoRR (2020)
Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. ICRA (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. IV (2020)
Zhiqian Qiao, Jeff Schneider, John M. Dolan
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning. CoRR (2020)
Shuby Deshpande, Jeff Schneider
Vizarel: A System to Help Better Understand RL Agents. CoRR (2020)
Zhiqian Qiao, Jing Zhao, Jin Zhu, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan
. ICRA (2020)
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. WACV (2020)
Ramina Ghods, William J. Durkin, Jeff Schneider
Multi-Agent Active Search using Realistic Depth-Aware Noise Model. CoRR (2020)
Ramina Ghods, Arundhati Banerjee, Jeff Schneider
Asynchronous Multi Agent Active Search. CoRR (2020)
Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning. IROS (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. CoRR (2019)
Zhiqian Qiao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan
Hierarchical Reinforcement Learning Method for Autonomous Vehicle Behavior Planning. CoRR (2019)
Zhiqian Qiao, Jing Zhao, Zachariah Tyree, Priyantha Mudalige, Jeff Schneider, John M. Dolan
Human Driver Behavior Prediction based on UrbanFlow. CoRR (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. ICRA (2019)
Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. CoRR (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. CoRR (2018)
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider
Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. CoRR (2018)
Sibi Venkatesan, James K. Miller, Jeff Schneider, Artur Dubrawski
Scaling Active Search using Linear Similarity Functions. CoRR (2017)
Sibi Venkatesan, James K. Miller, Jeff Schneider, Artur Dubrawski
Scaling Active Search using Linear Similarity Functions. IJCAI (2017)
Jeff Schneider
Bayesian Optimization and Embedded Learning Systems. KDD (2016)
Jeff Schneider
Panel: business constraints drive test decisions. ITC (2005)