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Papers matching “training trajectories” 11

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Does Compression Imply Generalization? A Minimum Description Length Perspective
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Lincen Yang, Jiayang Shi, Nan Pu, Daniël M. Pelt, Matthijs van Leeuwen, Zhong Li, +1 more

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
Beyond Imitation: Reflective On-Policy Self-Distillation for LLM Reasoning
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Ziqi Zhao, Xinyu Ma, Liu Yang, Yujie Feng, Daiting Shi, Jingzhou He, +3 more

0

citations
Trajectory-based Algorithm Selection with Warm-starting
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anja Jankovič, Diederick Vermetten, Ana Kostovska, Jacob de Nobel, Tome Eftimov, Carola Doerr

2

citations
Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrei Baroian, Rutger Berger

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Human Pose and Action Recognition Open access

Dan Biderman, Matthew R Whiteway, Cole Hurwitz, Nicholas Greenspan, Ankit Vishnubhotla, Richard A. Warren, +13 more

18

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

2

citations
First-Order Representation Languages for Goal-Conditioned RL
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Héctor Geffner

0

citations
First-Order Representation Languages for Goal-Conditioned RL
2025 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Simon Ståhlberg, Héctor Geffner

0

citations
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury
2023 arXiv (Cornell University) preprint Computer Science Machine Learning in Healthcare Open access

Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia A. I. Åkerlund, Lindsay Wilson, Robert David Stevens, David Krishna Menon, +3 more

2

citations

11 results