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Spotlight
Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Room 307
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning
In Optimization/Reinforcement Learning
Max Paulus · Giulia Zarpellon · Andreas Krause · Laurent Charlin · Chris Maddison
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Room 307
A Regret Minimization Approach to Multi-Agent Control
In Optimization/Reinforcement Learning
Udaya Ghai · Udari Madhuhshani · Naomi Leonard · Elad Hazan
Spotlight
Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Room 307
Multi-slots Online Matching with High Entropy
In Optimization/Reinforcement Learning
XINGYU LU · Qintong Wu · WENLIANG ZHONG
Spotlight
Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Room 307
Decision-Focused Learning: Through the Lens of Learning to Rank
In Optimization/Reinforcement Learning
Jayanta Mandi · Víctor Bucarey · Maxime Mulamba Ke Tchomba · Tias Guns
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Room 307
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
In Optimization/Reinforcement Learning
Amrit Singh Bedi · Souradip Chakraborty · Anjaly Parayil · Brian Sadler · Pratap Tokekar · Alec Koppel
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Room 307
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language
In Optimization/Reinforcement Learning
Iou-Jen Liu · Xingdi Yuan · Marc-Alexandre Côté · Pierre-Yves Oudeyer · Alex Schwing
Spotlight
Fri Jul 22 05:00 AM -- 05:05 AM (KST) @ Room 307
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
In Optimization/Reinforcement Learning
Adam Villaflor · Zhe Huang · Swapnil Pande · John Dolan · Jeff Schneider
Oral
Fri Jul 22 05:05 AM -- 05:25 AM (KST) @ Room 307
An Analytical Update Rule for General Policy Optimization
In Optimization/Reinforcement Learning
Hepeng Li · Nicholas Clavette · Haibo He
Spotlight
Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Room 307
Making Linear MDPs Practical via Contrastive Representation Learning
In Optimization/Reinforcement Learning
Tianjun Zhang · Tongzheng Ren · Mengjiao Yang · Joseph E Gonzalez · Dale Schuurmans · Bo Dai
Spotlight
Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Room 307
Flow-based Recurrent Belief State Learning for POMDPs
In Optimization/Reinforcement Learning
Xiaoyu Chen · Yao Mu · Ping Luo · Shengbo Li · Jianyu Chen
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Room 307
A Parametric Class of Approximate Gradient Updates for Policy Optimization
In Optimization/Reinforcement Learning
Ramki Gummadi · Saurabh Kumar · Junfeng Wen · Dale Schuurmans
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Room 307
Retrieval-Augmented Reinforcement Learning
In Optimization/Reinforcement Learning
Anirudh Goyal · Abe Friesen Friesen · Andrea Banino · Theophane Weber · Nan Rosemary Ke · Adrià Puigdomenech Badia · Arthur Guez · Mehdi Mirza · Peter Humphreys · Ksenia Konyushkova · Michal Valko · Simon Osindero · Timothy Lillicrap · Nicolas Heess · Charles Blundell
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Room 307
Robust Policy Learning over Multiple Uncertainty Sets
In Optimization/Reinforcement Learning
Annie Xie · Shagun Sodhani · Chelsea Finn · Joelle Pineau · Amy Zhang
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Room 307
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL
In Optimization/Reinforcement Learning
Siyi Hu · Chuanlong Xie · Xiaodan Liang · Xiaojun Chang
Spotlight
Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Room 307
Learning Dynamics and Generalization in Deep Reinforcement Learning
In Optimization/Reinforcement Learning
Clare Lyle · Mark Rowland · Will Dabney · Marta Kwiatkowska · Yarin Gal