Summary of Efficient Imitation Learning with Conservative World Models, by Victor Kolev et al.
Efficient Imitation Learning with Conservative World Modelsby Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu,…
Efficient Imitation Learning with Conservative World Modelsby Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu,…
Modeling Real-Time Interactive Conversations as Timed Diarized Transcriptsby Garrett Tanzer, Gustaf Ahdritz, Luke Melas-KyriaziFirst submitted…
Investigating Symbolic Capabilities of Large Language Modelsby Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur…
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationingby Amutheezan Sivagnanam, Ava Pettet, Hunter…
Interactive Simulations of Backdoors in Neural Networksby Peter Bajcsy, Maxime BrosFirst submitted to arxiv on:…
Paired Autoencoders for Likelihood-free Estimation in Inverse Problemsby Matthias Chung, Emma Hart, Julianne Chung, Bas…
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculumby Hadi Pouransari, Chun-Liang Li, Jen-Hao…
A rapid approach to urban traffic noise mapping with a generative adversarial networkby Xinhao Yang,…
System Safety Monitoring of Learned Components Using Temporal Metric Forecastingby Sepehr Sharifi, Andrea Stocco, Lionel…
Part-based Quantitative Analysis for Heatmapsby Osman Tursun, Sinan Kalkan, Simon Denman, Sridha Sridharan, Clinton FookesFirst…