28 Results

Poster	Wed 9:00	Rethinking Value Function Learning for Generalization in Reinforcement Learning Seungyong Moon · JunYeong Lee · Hyun Oh Song
Poster	Tue 9:00	Spectral Bias in Practice: The Role of Function Frequency in Generalization Sara Fridovich-Keil · Raphael Gontijo Lopes · Rebecca Roelofs
Poster	Wed 9:00	On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen · Aditya Modi · Akshay Krishnamurthy · Nan Jiang · Alekh Agarwal
Poster	Tue 9:00	Biologically plausible solutions for spiking networks with efficient coding Veronika Koren · Stefano Panzeri
Workshop		A general framework for reward function distances Erik Jenner · Joar Skalse · Adam Gleave
Workshop		A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
Poster	Tue 9:00	Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure · Ilya Kostrikov · Ofir Nachum · Jonathan Tompson
Poster	Thu 14:00	Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions Adam Block · Max Simchowitz
Poster	Wed 9:00	Change-point Detection for Sparse and Dense Functional Data in General Dimensions Carlos Misael Madrid Padilla · Daren Wang · Zifeng Zhao · Yi Yu
Poster	Tue 9:00	NSNet: A General Neural Probabilistic Framework for Satisfiability Problems Zhaoyu Li · Xujie Si
Poster	Thu 9:00	A Unifying Framework of Off-Policy General Value Function Evaluation Tengyu Xu · Zhuoran Yang · Zhaoran Wang · Yingbin Liang
Poster	Wed 14:00	Exploring through Random Curiosity with General Value Functions Aditya Ramesh · Louis Kirsch · Sjoerd van Steenkiste · Jürgen Schmidhuber