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Poster
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Wed 8:45
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Model-free Posterior Sampling via Learning Rate Randomization
Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Pierre Perrault · Michal Valko · Pierre Ménard
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Poster
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Wed 8:45
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RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu · Max Simchowitz · Siri Gadipudi · Abhishek Gupta
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Workshop
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AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
Caroline Choi · Yoonho Lee · Annie Chen · Allan Zhou · Aditi Raghunathan · Chelsea Finn
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Poster
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Tue 15:15
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Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Lin Guan · Karthik Valmeekam · Sarath Sreedharan · Subbarao Kambhampati
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Workshop
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Ensemble models outperform single model uncertainties and predictions for operator-learning of hypersonic flows
Victor Leon · Noah Ford · Honest Mrema · Jeffrey Gilbert · Alexander New
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Poster
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Thu 15:00
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Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jimenez · Alessandro Favero · Pascal Frossard
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Workshop
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Chain-of-Thought Reasoning is a Policy Improvement Operator
Hugh Zhang · David Parkes
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Poster
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Wed 15:00
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Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models
Qiong Wu · Wei Yu · Yiyi Zhou · Shubin Huang · Xiaoshuai Sun · Rongrong Ji
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Workshop
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RAVL: Reach-Aware Value Learning for the Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims · Cong Lu · Yee Whye Teh
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Workshop
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GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
Mianchu Wang · Rui Yang · Xi Chen · Meng Fang
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Poster
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Thu 15:00
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FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning
Kun Song · Huimin Ma · Bochao Zou · Huishuai Zhang · Weiran Huang
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Poster
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Thu 15:00
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Recasting Continual Learning as Sequence Modeling
Soochan Lee · Jaehyeon Son · Gunhee Kim
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