Workshop
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Identifiable latent bandits: Combining observational data and exploration for personalized healthcare
Ahmet Balcioglu · Emil Carlsson · Fredrik Johansson
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Workshop
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Sat 0:00
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Automated Reinforcement Learning: Exploring Meta-Learning, AutoML, and LLMs
Theresa Eimer · Raghu Rajan · Julian Dierkes · André Biedenkapp · Vu Nguyen · Aleksandra Faust
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Workshop
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Sat 1:00
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Scalable and Provable Exploration via HyperAgent for Foundation Model Decision-making
Yingru Li · Jiawei Xu · Zhi-Quan Luo
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Workshop
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Hallmarks of Optimization Trajectories in Neural Networks and LLMs: Directional Exploration and Redundancy
Sidak Pal Singh · Bobby He · Thomas Hofmann · Bernhard Schölkopf
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Workshop
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ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks
Omer Ronen · Ahmed Imtiaz Humayun · Randall Balestriero · Richard Baraniuk · Bin Yu
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Workshop
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EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
Wei Yu · Songheng Yin · Steve Easterbrook · Animesh Garg
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Workshop
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EgoSim: Egocentric Exploration in Virtual Worlds with Multi-modal Conditioning
Wei Yu · Songheng Yin · Steve Easterbrook · Animesh Garg
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Workshop
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NEORL: Efficient Exploration for Nonepisodic RL
Bhavya · Lenart Treven · Florian Dörfler · Stelian Coros · Andreas Krause
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Workshop
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A safe exploration approach to constrained Markov decision processes
Tingting Ni · Maryam Kamgarpour
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Workshop
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Learning to Explore with Lagrangians for Bandits under Unknown Constraints
Udvas Das · Debabrota Basu
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Workshop
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Exploring Integrality Grip for Mixed-integer Programming by MCTS Planning
Defeng Liu
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Workshop
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Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
Aniket Didolkar · Anirudh Goyal · Rosemary Nan Ke · Siyuan Guo · Michal Valko · Timothy Lillicrap · Danilo J. Rezende · Yoshua Bengio · Michael Mozer · Sanjeev Arora
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