JS
Jeff Schneider
cs.LGstat.MLcs.AIcs.ROcs.CVastro-ph.COcs.MAastro-phcs.CLcs.NE
On Valency
published · living versionsW_4ur66ypq·v1 · currentpublished
Geometric Time Score Estimators: Bridging Self-Predictive Representations and Generative Occupancy Models For Reinforcement Learning
with Aravind Venugopal, Grace Liu, Benjamin Eysenbach
1 version
W_te36srbd·v1published
W_s6bdne4e·v1published
Preprints & journals
104 papers in the corpus · 2000–2025CaRT: Teaching LLM Agents to Know When They Know Enough2510.08517v1 · Grace Liu, Yuxiao Qu, Jeff Schneider et al.2025 · 0 citationsarXiv
Latent Policy Steering with Embodiment-Agnostic Pretrained World Models2507.13340v4 · Yiqi Wang, Mrinal Verghese, Jeff Schneider2025 · 0 citationsarXiv
Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions2507.04606v1 · Aman Mehra, Alexandre Capone, Jeff Schneider2025 · 0 citationsarXiv
Multi-Timescale Dynamics Model Bayesian Optimization for Plasma Stabilization in Tokamaks2506.10287v1 · Rohit Sonker, Alexandre Capone, Andrew Rothstein et al.2025 · 0 citationsarXiv
Accelerating Diffusion Planners in Offline RL via Reward-Aware Consistency Trajectory Distillation2506.07822v3 · Xintong Duan, Yutong He, Fahim Tajwar et al.2025 · 0 citationsarXiv
Can Large Reasoning Models Self-Train?2505.21444v2 · Sheikh Shafayat, Fahim Tajwar, Ruslan Salakhutdinov et al.2025 · 0 citationsarXiv
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning2505.13709v3 · Jiayu Chen, Le Xu, Aravind Venugopal et al.2025 · 0 citationsarXiv
Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability2502.20294v3 · Hiro J Farre-Kaga, Andrew Rothstein, Rohit Sonker et al.2025 · 3 citationsarXiv
Training a Generally Curious Agent2502.17543v4 · Fahim Tajwar, Yiding Jiang, Abitha Thankaraj et al.2025 · 0 citationsarXiv
TD-M(PC): Improving Temporal Difference MPC Through Policy Constraint2502.03550v1 · Haotian Lin, Pengcheng Wang, Jeff Schneider et al.2025 · 0 citationsarXiv
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models2501.13241v2 · Xintong Duan, Yutong He, Fahim Tajwar et al.2025 · 0 citationsarXiv
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning2410.11234v4 · Jiayu Chen, Le Xu, Wentse Chen et al.2024 · 1 citationarXiv
Decentralized Uncertainty-Aware Active Search with a Team of Aerial Robots2410.08507v2 · Wennie Tabib, John Stecklein, Caleb McDowell et al.2024 · 0 citationsarXiv
Measure Preserving Flows for Ergodic Search in Convoluted Environments2409.09164v1 · Albert Xu, Bhaskar Vundurthy, Geordan Gutow et al.2024 · 1 citationarXiv
Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts2409.00879v1 · Youngseog Chung, Dhruv Malik, Jeff Schneider et al.2024 · 0 citationsarXiv
Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization2408.04295v3 · Aditya Kapoor, Benjamin Freed, Howie Choset et al.2024 · 1 citationarXiv
ME-IGM: Individual-Global-Max in Maximum Entropy Multi-Agent Reinforcement Learning2406.13930v4 · Wen-Tse Chen, Yuxuan Li, Shiyu Huang et al.2024 · 1 citationProc. of the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), Paphos, Cyprus, May 25 - 29, 2026, IFAAMAS, 19 pages
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data2404.14367v3 · Fahim Tajwar, Anikait Singh, Archit Sharma et al.2024 · 4 citationsarXiv
Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks2404.12416v1 · Ian Char, Youngseog Chung, Joseph Abbate et al.2024 · 2 citationsarXiv
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving2403.07232v1 · Adam Villaflor, Brian Yang, Huangyuan Su et al.2024 · 2 citationsarXiv
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following2402.06559v2 · Brian Yang, Huangyuan Su, Nikolaos Gkanatsios et al.2024 · 2 citationsarXiv
Decentralized Multi-Agent Active Search and Tracking when Targets Outnumber Agents2401.03154v2 · Arundhati Banerjee, Jeff Schneider2024 · 9 citationsarXiv
Sample Efficient Preference Alignment in LLMs via Active Exploration2312.00267v3 · Viraj Mehta, Syrine Belakaria, Vikramjeet Das et al.2023 · 1 citationarXiv
Stealthy Terrain-Aware Multi-Agent Active Search2310.10961v1 · Nikhil Angad Bakshi, Jeff Schneider2023 · 0 citationsarXiv
Reasoning with Latent Diffusion in Offline Reinforcement Learning2309.06599v1 · Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella et al.2023 · 5 citationsarXiv
Kernelized Offline Contextual Dueling Bandits2307.11288v1 · Viraj Mehta, Ojash Neopane, Vikramjeet Das et al.2023 · 0 citationsarXiv
Data Cross-Segmentation for Improved Generalization in Reinforcement Learning Based Algorithmic Trading2307.09377v1 · Vikram Duvvur, Aashay Mehta, Edward Sun et al.2023 · 1 citationarXiv
Enhancing Visual Domain Adaptation with Source Preparation2306.10142v1 · Anirudha Ramesh, Anurag Ghosh, Christoph Mertz et al.2023 · 1 citationarXiv
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search2304.02075v2 · Nikhil Angad Bakshi, Tejus Gupta, Ramina Ghods et al.2023 · 3 citationsarXiv
Near-optimal Policy Identification in Active Reinforcement Learning2212.09510v1 · Xiang Li, Viraj Mehta, Johannes Kirschner et al.2022 · 0 citationsarXiv
Cost Aware Asynchronous Multi-Agent Active Search2210.02259v1 · Arundhati Banerjee, Ramina Ghods, Jeff Schneider2022 · 0 citationsarXiv
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning2207.10295v1 · Adam Villaflor, Zhe Huang, Swapnil Pande et al.2022 · 7 citationsarXiv
How Useful are Gradients for OOD Detection Really?2205.10439v1 · Conor Igoe, Youngseog Chung, Ian Char et al.2022 · 8 citationsarXiv
BATS: Best Action Trajectory Stitching2204.12026v1 · Ian Char, Viraj Mehta, Adam Villaflor et al.2022 · 0 citationsarXiv
Multi-Agent Active Search using Detection and Location Uncertainty2203.04524v2 · Arundhati Banerjee, Ramina Ghods, Jeff Schneider2022 · 3 citationsarXiv
Robust Reinforcement Learning via Genetic Curriculum2202.08393v1 · Yeeho Song, Jeff Schneider2022 · 8 citationsarXiv
UGV-UAV Object Geolocation in Unstructured Environments2201.05518v1 · David Guttendorf, D.W. Wilson Hamilton, Anne Harris Heckman et al.2022 · 1 citationarXiv
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling2112.12740v1 · Benjamin Freed, Aditya Kapoor, Ian Abraham et al.2021 · 7 citationsarXiv
An Experimental Design Perspective on Model-Based Reinforcement Learning2112.05244v2 · Viraj Mehta, Biswajit Paria, Jeff Schneider et al.2021 · 4 citationsarXiv
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification2109.10254v1 · Youngseog Chung, Ian Char, Han Guo et al.2021 · 42 citationsarXiv
SBEVNet: End-to-End Deep Stereo Layout Estimation2105.11705v2 · Divam Gupta, Wei Pu, Trenton Tabor et al.2021 · 9 citationsarXiv
Affordance-based Reinforcement Learning for Urban Driving2101.05970v1 · Tanmay Agarwal, Hitesh Arora, Jeff Schneider2021 · 9 citationsarXiv
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification2011.09588v4 · Youngseog Chung, Willie Neiswanger, Ian Char et al.2020 · 44 citationsarXiv
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning2011.04697v1 · Zhiqian Qiao, Jeff Schneider, John M. Dolan2020 · 28 citationsarXiv
Multi-Agent Active Search using Realistic Depth-Aware Noise Model2011.04825v2 · Ramina Ghods, William J. Durkin, Jeff Schneider2020 · 17 citationsarXiv
Interactive Visualization for Debugging RL2008.07331v2 · Shuby Deshpande, Benjamin Eysenbach, Jeff Schneider2020 · 6 citationsarXiv
Vizarel: A System to Help Better Understand RL Agents2007.05577v1 · Shuby Deshpande, Jeff Schneider2020 · 3 citationsarXiv
Asynchronous Multi Agent Active Search2006.14718v1 · Ramina Ghods, Arundhati Banerjee, Jeff Schneider2020 · 3 citationsarXiv
Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction2006.12682v2 · Viraj Mehta, Ian Char, Willie Neiswanger et al.2020 · 12 citationsarXiv
Offline Contextual Bayesian Optimization for Nuclear Fusion2001.01793v1 · Youngseog Chung, Ian Char, Willie Neiswanger et al.2020 · 5 citationsarXiv
Career total: 241 works. 104 are in this corpus.Showing the 50 most recent.
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