Jeff Schneider

20 papers A* 4A 2C 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual Policy Distillation from Distributed Reinforcement Learning Teachers. CoRR Yuxuan Li, Qijun He, Mingqi Yuan, Wen-Tse Chen, Jeff Schneider, Jiayu Chen
2025	J	`jnl`	Latent Policy Steering with Embodiment-Agnostic Pretrained World Models. CoRR Yiqi Wang, Mrinal Verghese, Jeff Schneider
2025	A*	`conf`	Planning with Adaptive World Models for Autonomous Driving. ICRA Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
2025	J	`jnl`	Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning. CoRR Jiayu Chen, Aravind Venugopal, Jeff Schneider
2025	J	`jnl`	TD-M(PC) CoRR Haotian Lin, Pengcheng Wang, Jeff Schneider, Guanya Shi
2024	J	`jnl`	Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning. CoRR Jiayu Chen, Wentse Chen, Jeff Schneider
2024	J	`jnl`	Planning with Adaptive World Models for Autonomous Driving. CoRR Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan
2024	J	`jnl`	Soft-QMIX: Integrating Maximum Entropy For Monotonic Value Function Factorization. CoRR Wentse Chen, Shiyu Huang, Jeff Schneider
2020	A*	`conf`	Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions. ICRA Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
2020	J	`jnl`	Interactive Visualization for Debugging RL. CoRR Shuby Deshpande, Benjamin Eysenbach, Jeff Schneider
2020	C	`conf`	Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. IV Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2020	A	`conf`	Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving. WACV Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Nitin Singh, Jeff Schneider
2020	J	`jnl`	Vizarel: A System to Help Better Understand RL Agents. CoRR Shuby Deshpande, Jeff Schneider
2019	J	`jnl`	Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories. CoRR Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
2019	A*	`conf`	Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. ICRA Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2019	J	`jnl`	Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. CoRR Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2018	J	`jnl`	Motion Prediction of Traffic Actors for Autonomous Driving using Deep Convolutional Networks. CoRR Nemanja Djuric, Vladan Radosavljevic, Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider
2018	J	`jnl`	Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. CoRR Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2016	A*	`conf`	Bayesian Optimization and Embedded Learning Systems. KDD Jeff Schneider
2005	A	`conf`	Panel: business constraints drive test decisions. ITC Jeff Schneider