Jeff Schneider
Carnegie Mellon University
H-index: 64
North America-United States
Top articles of Jeff Schneider
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving | arXiv preprint arXiv:2403.07232 | Adam Villaflor Brian Yang Huangyuan Su Katerina Fragkiadaki John Dolan | 2024/3/12 |
Automated experimental design of safe rampdowns via probabilistic machine learning | Nuclear Fusion | Viraj Mehta Jayson Barr Joseph Abbate Mark D Boyer Ian Char | 2024/2/23 |
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks | Advances in Neural Information Processing Systems | Ian Char Jeff Schneider | 2024/2/13 |
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data | arXiv preprint arXiv:2404.14367 | Fahim Tajwar Anikait Singh Archit Sharma Rafael Rafailov Jeff Schneider | 2024/4/22 |
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following | arXiv preprint arXiv:2402.06559 | Brian Yang Huangyuan Su Nikolaos Gkanatsios Tsung-Wei Ke Ayush Jain | 2024/2/9 |
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks | arXiv preprint arXiv:2404.12416 | Ian Char Youngseog Chung Joseph Abbate Egemen Kolemen Jeff Schneider | 2024/4/18 |
Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents | arXiv preprint arXiv:2401.03154 | Arundhati Banerjee Jeff Schneider | 2024/1/6 |
Determining autonomous vehicle routes | 2024/4/9 | ||
Genetic Algorithm for Curriculum Generation in Multi-Agent Reinforcement Learning | Yeeho Song Jeff Schneider | 2023/10/13 | |
Correlated Trajectory Uncertainty for Adaptive Sequential Decision Making | Ian Char Youngseog Chung Rohan Shah Willie Neiswanger Jeff Schneider | 2023/12/22 | |
Guts: Generalized uncertainty-aware thompson sampling for multi-agent active search | Nikhil Angad Bakshi Tejus Gupta Ramina Ghods Jeff Schneider | 2023/5/29 | |
Unifying Model-Based and Model-Free Reinforcement Learning with Equivalent Policy Sets | Benjamin Freed Thomas Wei Roberto Calandra Jeff Schneider Howie Choset | 2023/10/13 | |
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading | arXiv preprint arXiv:2307.09377 | Vikram Duvvur Aashay Mehta Edward Sun Bo Wu Ken Yew Chan | 2023/7/18 |
Decentralized and Asynchronous Multi-Agent Active Search and Tracking when Targets Outnumber Agents | Arundhati Banerjee Jeff Schneider | 2023/12/22 | |
Multi-agent active search using detection and location uncertainty | Arundhati Banerjee Ramina Ghods Jeff Schneider | 2023/5/29 | |
Learning temporally AbstractWorld models without online experimentation | Benjamin Freed Siddarth Venkatraman Guillaume Adrien Sartoretti Jeff Schneider Howie Choset | 2023/7/3 | |
Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration | Viraj Mehta Vikramjeet Das Ojash Neopane Yijia Dai Ilija Bogunovic | 2023/10/13 | |
Object motion prediction and autonomous vehicle control | 2023/12/5 | ||
Motion prediction for autonomous devices | 2023/4/25 | ||
Distributional Distance Classifiers for Goal-Conditioned Reinforcement Learning | Ravi Tej Akella Benjamin Eysenbach Jeff Schneider Russ Salakhutdinov | 2023/10/13 |
Co-Authors
