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Poster
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Wed 9:00
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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang
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Poster
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Tue 9:00
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Efficient Risk-Averse Reinforcement Learning
Ido Greenberg · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor
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Workshop
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Hybrid RL: Using both offline and online data can make RL efficient
Yuda Song · Yifei Zhou · Ayush Sekhari · J. Bagnell · Akshay Krishnamurthy · Wen Sun
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Poster
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Wed 14:00
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Efficient Sampling on Riemannian Manifolds via Langevin MCMC
Xiang Cheng · Jingzhao Zhang · Suvrit Sra
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Workshop
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Fri 13:30
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Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient (Wen Sun)
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Workshop
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SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning
Xingjian Li · Haoyi Xiong · Cheng-Zhong Xu · Dejing Dou
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Poster
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Tue 14:00
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Planning for Sample Efficient Imitation Learning
Zhao-Heng Yin · Weirui Ye · Qifeng Chen · Yang Gao
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Workshop
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IMPON: Efficient IMPortance sampling with ONline regression for rapid neural network training
Vignesh Ganapathiraman · Francisco Calderon · Anila Joshi
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Panel
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Tue 17:00
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Panel 2C-1: High-dimensional limit theorems… & Efficient Sampling on…
Xiang Cheng · Reza Gheissari
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Poster
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Tue 9:00
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
Dilip Arumugam · Benjamin Van Roy
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Workshop
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Efficient Automatic Machine Learning via Design Graphs
Shirley Wu · Jiaxuan You · Jure Leskovec · Rex Ying
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Workshop
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Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance
Yanqiu Wu · Xinyue Chen · Che Wang · Yiming Zhang · Keith Ross
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