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Poster
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Thu 15:00
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An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits
Shinji Ito · Kei Takemura
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Poster
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Thu 8:45
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Near-optimal learning with average Hölder smoothness
Guy Kornowski · Steve Hanneke · Aryeh Kontorovich
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Workshop
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Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew T Jackson · Chris Lu · Louis Kirsch · Robert Lange · Shimon Whiteson · Jakob Foerster
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Workshop
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Sat 8:25
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Analog-Optical Computation for optimization and machine-learning inference
Jannes Gladrow
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Poster
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Tue 15:15
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Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
Jun Chen · Hong Chen · Bin Gu · Hao Deng
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Poster
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Tue 15:15
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Resetting the Optimizer in Deep RL: An Empirical Study
Kavosh Asadi · Rasool Fakoor · Shoham Sabach
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Poster
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Wed 8:45
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Fractal Landscapes in Policy Optimization
Tao Wang · Sylvia Herbert · Sicun Gao
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Workshop
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Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning
Ali Baheri
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Poster
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Thu 8:45
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Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data
Sai Aparna Aketi · Abolfazl Hashemi · Kaushik Roy
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Workshop
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Deploying Reinforcement Learning based Economizer Optimization at Scale
Ivan Cui · Wei Yih Yap · Charles Prosper · Bharathan Balaji · Jake Chen
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Poster
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Wed 8:45
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Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal
Leah Chrestien · Stefan Edelkamp · Antonin Komenda · Tomas Pevny
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Poster
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Wed 8:45
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Hybrid Policy Optimization from Imperfect Demonstrations
Hanlin Yang · Chao Yu · peng sun · Siji Chen
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