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Workshop
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Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
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Poster
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Thu 14:00
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Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
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Poster
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On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation
Valentin Thomas
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Poster
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Wed 14:00
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FIRE: Semantic Field of Words Represented as Non-Linear Functions
Xin Du · Kumiko Tanaka-Ishii
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Poster
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Thu 9:00
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Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny · Andreas Krause
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Poster
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Thu 14:00
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Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions
Adam Block · Max Simchowitz
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Workshop
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PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
Bo Tang · Elias Khalil
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Poster
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Wed 14:00
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Linear Label Ranking with Bounded Noise
Dimitris Fotakis · Alkis Kalavasis · Vasilis Kontonis · Christos Tzamos
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Poster
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Wed 9:00
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A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
Philip Amortila · Nan Jiang · Dhruv Madeka · Dean Foster
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Poster
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Tue 14:00
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Confident Approximate Policy Iteration for Efficient Local Planning in qπ-realizable MDPs
Gellért Weisz · András György · Tadashi Kozuno · Csaba Szepesvari
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Poster
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Wed 14:00
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Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
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Poster
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Thu 14:00
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What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
Shivam Garg · Dimitris Tsipras · Percy Liang · Gregory Valiant
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