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Poster
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Wed 11:00
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SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning
Huy Hoang · Tien Mai · Pradeep Varakantham
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Poster
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Wed 16:30
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Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
Zhishuai Liu · Pan Xu
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Poster
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Wed 16:30
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Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
Matthew Zurek · Yudong Chen
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Poster
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Wed 11:00
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Rethinking Optimal Transport in Offline Reinforcement Learning
Arip Asadulaev · Rostislav Korst · Aleksandr Korotin · Vage Egiazarian · Andrey Filchenkov · Evgeny Burnaev
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Poster
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Thu 16:30
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Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
Cuong Dao · Phi Le Nguyen · Truong Thao Nguyen · Nghia Hoang
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Poster
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Wed 11:00
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Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization
Taeyoung Yun · Sujin Yun · Jaewoo Lee · Jinkyoo Park
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Workshop
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Sun 15:10
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Scalable RL for Systems via Offline Imitation from Multiple Baselines: A Case Study in Compiler Optimization (Teodor V. Marinov, Google)
Teodor Vanislavov Marinov · Alekh Agarwal · Mircea Trofin
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Workshop
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Scalable RL for Systems via Offline Imitation from Multiple Baselines: A Case Study in Compiler Optimization
Teodor Vanislavov Marinov · Alekh Agarwal · Mircea Trofin
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Workshop
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From Function to Distribution Modeling: A PAC-Generative Approach to Offline Optimization
Qiang Zhang · Ruida Zhou · Yang Shen · Tie Liu
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Poster
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Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
Yang Dai · Oubo Ma · Longfei Zhang · Xingxing Liang · Shengchao Hu · Mengzhu Wang · Shouling Ji · Jincai Huang · Li Shen
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