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Poster
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Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Thanh Steve Lam · Arun Verma · Bryan Kian Hsiang Low · Patrick Jaillet
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Poster
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Wed 7:30
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MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
Wei Ming Neo · Zhehui Wang · Cheng Liu · Rick Goh · Tao Luo
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Poster
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Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
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Poster
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Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Liwei Wang · Tong Zhang
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Poster
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VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation
Thanh Nguyen-Tang · Raman Arora
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Poster
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Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization
Jun-Kun Wang · Andre Wibisono
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Poster
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Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
Ming Yin · Mengdi Wang · Yu-Xiang Wang
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Poster
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Wed 7:30
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A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
Maksim Velikanov · Denis Kuznedelev · Dmitry Yarotsky
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Poster
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Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
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Poster
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Mon 7:30
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Constructive TT-representation of the tensors given as index interaction functions with applications
Gleb Ryzhakov · Ivan Oseledets
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Poster
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The Role of Coverage in Online Reinforcement Learning
Tengyang Xie · Dylan Foster · Yu Bai · Nan Jiang · Sham Kakade
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Workshop
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Fri 1:50
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Improving ecological connectivity assessments with transfer learning and function approximation
Michael Catchen · Michelle Lin · Timothée Poisot · David Rolnick · Andrew Gonzalez
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