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309 Results
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Workshop
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Learning to Prioritize Planning Updates in Model-based Reinforcement Learning Brad Burega · John Martin · Michael Bowling |
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Poster
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Wed 9:00 |
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai |
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Poster
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Tue 9:00 |
To update or not to update? Neurons at equilibrium in deep models Andrea Bragagnolo · Enzo Tartaglione · Marco Grangetto |
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Poster
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Constrained Update Projection Approach to Safe Policy Optimization Long Yang · Jiaming Ji · Juntao Dai · Linrui Zhang · Binbin Zhou · Pengfei Li · Yaodong Yang · Gang Pan |
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Poster
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Thu 14:00 |
Adam Can Converge Without Any Modification On Update Rules Yushun Zhang · Congliang Chen · Naichen Shi · Ruoyu Sun · Zhi-Quan Luo |
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Poster
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BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling Yizhao Gao · Nanyi Fei · Haoyu Lu · Zhiwu Lu · Hao Jiang · Yijie Li · Zhao Cao |
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Poster
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When to Update Your Model: Constrained Model-based Reinforcement Learning Tianying Ji · Yu Luo · Fuchun Sun · Mingxuan Jing · Fengxiang He · Wenbing Huang |
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Poster
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Thu 9:00 |
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence Rahul Jain · Georgios Piliouras · Ryann Sim |
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Poster
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Thu 9:00 |
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update Georgios Piliouras · Ryann Sim · Stratis Skoulakis |