Poster

Tue 9:00

Provably sample-efficient RL with side information about latent dynamics
Yao Liu · Dipendra Misra · Miro Dudik · Robert Schapire

Poster

Thu 14:00

Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff

Poster

Wed 14:00

Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin

Poster

Thu 14:00

Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara · Ayush Sekhari · Jason Lee · Nathan Kallus · Wen Sun

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

Provable Benefit of Multitask Representation Learning in Reinforcement Learning
Yuan Cheng · Songtao Feng · Jing Yang · Hong Zhang · Yingbin Liang

Poster

Thu 9:00

Theoretically Provable Spiking Neural Networks
Shao-Qun Zhang · Zhi-Hua Zhou

Workshop

Hybrid RL: Using both offline and online data can make RL efficient
Yuda Song · Yifei Zhou · Ayush Sekhari · J. Bagnell · Akshay Krishnamurthy · Wen Sun

Poster

Wed 14:00

A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He · Tianhao Wang · Yifei Min · Quanquan Gu

Poster

Tue 14:00

Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
Qiwen Cui · Simon Du

Workshop

Fri 13:30

Poster

Thu 9:00

Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
Dingwen Kong · Lin Yang