15 Results

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