Summary of Reinforcement Learning Via Auxiliary Task Distillation, by Abhinav Narayan Harish et al.
Reinforcement Learning via Auxiliary Task Distillationby Abhinav Narayan Harish, Larry Heck, Josiah P. Hanna, Zsolt…
Summary of Dem: Distribution Edited Model For Training with Mixed Data Distributions, by Dhananjay Ram et al.
DEM: Distribution Edited Model for Training with Mixed Data Distributionsby Dhananjay Ram, Aditya Rawal, Momchil…
Summary of On Giant’s Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion, By Chenghao Fan et al.
On Giant’s Shoulders: Effortless Weak to Strong by Dynamic Logits Fusionby Chenghao Fan, Zhenyi Lu,…
Summary of Behaviour Distillation, by Andrei Lupu et al.
Behaviour Distillationby Andrei Lupu, Chris Lu, Jarek Liesen, Robert Tjarko Lange, Jakob FoersterFirst submitted to…
Summary of Capturing Temporal Components For Time Series Classification, by Venkata Ragavendra Vavilthota et al.
Capturing Temporal Components for Time Series Classificationby Venkata Ragavendra Vavilthota, Ranjith Ramanathan, Sathyanarayanan N. AakurFirst…
Summary of Scalable Training Of Trustworthy and Energy-efficient Predictive Graph Foundation Models For Atomistic Materials Modeling: a Case Study with Hydragnn, by Massimiliano Lupo Pasini et al.
Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A…
Summary of Model Adaptation For Time Constrained Embodied Control, by Jaehyun Song et al.
Model Adaptation for Time Constrained Embodied Controlby Jaehyun Song, Minjong Yoo, Honguk WooFirst submitted to…
Summary of Analysing Multi-task Regression Via Random Matrix Theory with Application to Time Series Forecasting, by Romain Ilbert et al.
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecastingby Romain Ilbert,…
Summary of I Know How: Combining Prior Policies to Solve New Tasks, by Malio Li et al.
I Know How: Combining Prior Policies to Solve New Tasksby Malio Li, Elia Piccoli, Vincenzo…
Summary of Interpetable Target-feature Aggregation For Multi-task Learning Based on Bias-variance Analysis, by Paolo Bonetti et al.
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysisby Paolo Bonetti, Alberto Maria Metelli,…