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Spotlight
Wed Jul 21 11:00 PM -- 11:05 PM (KST)
Instabilities of Offline RL with Pre-Trained Neural Representation
In Reinforcement Learning and Bandits
Ruosong Wang · Yifan Wu · Ruslan Salakhutdinov · Sham Kakade
[ Paper ]
Spotlight
Wed Jul 21 11:05 PM -- 11:10 PM (KST)
Path Planning using Neural A* Search
In Reinforcement Learning and Bandits
Ryo Yonetani · Tatsunori Taniai · Mohammadamin Barekatain · Mai Nishimura · Asako Kanezaki
[ Paper ]
Spotlight
Wed Jul 21 11:10 PM -- 11:15 PM (KST)
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
In Reinforcement Learning and Bandits
Kan Xu · Xuanyi Zhao · Hamsa Bastani · Osbert Bastani
[ Paper ]
Spotlight
Wed Jul 21 11:15 PM -- 11:20 PM (KST)
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
In Reinforcement Learning and Bandits
Gen Li · Changxiao Cai · Yuxin Chen · Yuantao Gu · Yuting Wei · Yuejie Chi
[ Paper ]
Spotlight
Wed Jul 21 11:20 PM -- 11:25 PM (KST)
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
In Reinforcement Learning and Bandits
Henry Charlesworth · Giovanni Montana
[ Paper ]
Spotlight
Wed Jul 21 11:25 PM -- 11:30 PM (KST)
Continuous-time Model-based Reinforcement Learning
In Reinforcement Learning and Bandits
Cagatay Yildiz · Markus Heinonen · Harri Lähdesmäki
[ Paper ]
Spotlight
Wed Jul 21 11:30 PM -- 11:35 PM (KST)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret
In Reinforcement Learning and Bandits
Hung Tran-The · Sunil Gupta · Santu Rana · Svetha Venkatesh
[ Paper ]
Spotlight
Wed Jul 21 11:35 PM -- 11:40 PM (KST)
Best Model Identification: A Rested Bandit Formulation
In Reinforcement Learning and Bandits
Leonardo Cella · Massimiliano Pontil · Claudio Gentile
[ Paper ]
Spotlight
Wed Jul 21 11:40 PM -- 11:45 PM (KST)
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
In Reinforcement Learning and Bandits
Weichen Wang · Jiequn Han · Zhuoran Yang · Zhaoran Wang
[ Paper ]
Q&A
Wed Jul 21 11:45 PM -- 11:50 PM (KST)
Q&A
In Reinforcement Learning and Bandits