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Poster
Tue 14:00 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
Poster
Tue 14:00 Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee · Bruno Andreis · Kenji Kawaguchi · Juho Lee · Sung Ju Hwang
Poster
Tue 9:00 The Hessian Screening Rule
Johan Larsson · Jonas Wallin
Workshop
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning
Anton Bakhtin · David Wu · Adam Lerer · Jonathan Gray · Athul Jacob · Gabriele Farina · Alexander Miller · Noam Brown
Workshop
Human-AI Coordination via Human-Regularized Search and Learning
Hengyuan Hu · David Wu · Adam Lerer · Jakob Foerster · Noam Brown
Workshop
Bridging the Gap Between Coulomb GAN and Gradient-regularized WGAN
Siddarth Asokan · Chandra Seelamantula
Workshop
Fri 4:40 Bridging the Gap Between Coulomb GAN and Gradient-regularized WGAN
Siddarth Asokan · Chandra Seelamantula
Workshop
Regularizing Score-based Models with Score Fokker-Planck Equations
Chieh-Hsin Lai · Yuhta Takida · Naoki Murata · Toshimitsu Uesaka · Yuki Mitsufuji · Stefano Ermon
Workshop
Mutual Information Regularized Offline Reinforcement Learning
Xiao Ma · Bingyi Kang · Zhongwen Xu · Min Lin · Shuicheng Yan
Workshop
SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning
Xingjian Li · Haoyi Xiong · Cheng-Zhong Xu · Dejing Dou
Workshop
Cubic Regularized Quasi-Newton Methods
Dmitry Kamzolov · Klea Ziu · Artem Agafonov · Martin Takac
Workshop
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver
Peimeng Guan · Jihui Jin · Justin Romberg · Mark Davenport