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