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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
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Poster
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Tue 14:00
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Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani · Lin Yang · Csaba Szepesvari
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Poster
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Wed 9:00
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Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
Shenao Zhang
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Poster
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Wed 14:00
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Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish K Jayant · Shalabh Bhatnagar
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Poster
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Thu 9:00
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Globally Convergent Policy Search for Output Estimation
Jack Umenberger · Max Simchowitz · Juan Perdomo · Kaiqing Zhang · Russ Tedrake
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Poster
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Wed 14:00
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
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Poster
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Tue 14:00
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Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li · Yuejie Chi · Yuting Wei · Yuxin Chen
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Poster
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Tue 14:00
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Data-Driven Offline Decision-Making via Invariant Representation Learning
Han Qi · Yi Su · Aviral Kumar · Sergey Levine
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Workshop
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An optimal control perspective on diffusion-based generative modeling
Julius Berner · Lorenz Richter · Karen Ullrich
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Workshop
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Fri 9:30
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Let’s Give Domain Experts a Choice by Creating Many Approximately-Optimal Machine Learning Models
Cynthia Rudin
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Poster
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Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
Xiang Gu · Yucheng Yang · Wei Zeng · Jian Sun · Zongben Xu
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Poster
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Wed 9:00
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Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively
Haojie Zhang · Ge Li · Jia Li · Zhongjin Zhang · YUQI ZHU · Zhi Jin
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