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Workshop
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Transformer-based Causal Language Models from a Meta-Learning Perspective
Xinbo Wu · Lav Varshney
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Workshop
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TD-MPC2: Scalable, Robust World Models for Continuous Control
Nicklas Hansen · Hao Su · Xiaolong Wang
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Poster
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Tue 8:45
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ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
Xuanle Zhao · Duzhen Zhang · Han Liyuan · Tielin Zhang · Bo Xu
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Poster
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Wed 15:00
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Efficient Exploration in Continuous-time Model-based Reinforcement Learning
Lenart Treven · Jonas Hübotter · Bhavya · Florian Dorfler · Andreas Krause
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Workshop
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DISTRIBUTIONALLY ROBUST MODEL-BASED REINFORCEMENT LEARNING WITH LARGE STATE SPACES
Shyam Sundhar Ramesh · Pier Giuseppe Sessa · Yifan Hu · Andreas Krause · Ilija Bogunovic
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Workshop
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Sat 12:30
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Haoran Qiu - On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management
Haoran Qiu
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Poster
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Thu 8:45
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One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
Marc Rigter · Marc Rigter · Bruno Lacerda · Nick Hawes
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Poster
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Tue 8:45
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Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai · Arushi Gupta · Wenhan Xia · Karan Singh · Elad Hazan
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Poster
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Wed 15:00
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Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi · Daiki Chijiwa · Sekitoshi Kanai · Atsutoshi Kumagai · Hisashi Kashima
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Workshop
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Probabilistic-Machine-Learning-based Turbulence Model Learning with a Differentiable Solver
Atul Agrawal · Phaedon S Koutsourelakis
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Workshop
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The Next Symbol Prediction Problem: PAC-learning and its relation to Language Models
Satwik Bhattamishra · Phil Blunsom · Varun Kanade
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Poster
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Thu 8:45
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Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time
Xiang Ji · Gen Li
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