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642 Results
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Workshop
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Vision-Language Models as a Source of Rewards Harris Chan · Volodymyr Mnih · Feryal Behbahani · Michael Laskin · Luyu Wang · Fabio Pardo · Maxime Gazeau · Himanshu Sahni · Daniel Horgan · Kate Baumli · Yannick Schroecker · Stephen Spencer · Richie Steigerwald · John Quan · Gheorghe Comanici · Sebastian Flennerhag · Alexander Neitz · Lei Zhang · Tom Schaul · Satinder Singh · Clare Lyle · Tim Rocktäschel · Jack Parker-Holder · Kristian Holsheimer |
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Competition
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Fri 7:00 |
The NeurIPS 2023 Neural MMO Challenge: Multi-Task Reinforcement Learning and Curriculum Generation Joseph Suarez · Phillip Isola · David Bloomin · Kyoung Whan Choe · Hao Li · Ryan Sullivan · Nishaanth Kanna · Daniel Scott · Rose Shuman · Herbie Bradley · Louis Castricato · Chenghui Yu · Yuhao Jiang · Qimai Li · Jiaxin Chen · Xiaolong Zhu · Dipam Chakrabroty · Sharada Mohanty · Nikhil Pinnaparaju |
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Workshop
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Relating Goal and Environmental Complexity for Improved Task Transfer: Initial Results Sunandita Patra · Paul Rademacher · Kristen Jacobson · Kyle Hassold · Onur Kulaksizoglu · Laura Hiatt · Mark Roberts · Dana Nau |
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Poster
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Thu 8:45 |
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective Zeyu Zhang · Yi Su · Hui Yuan · Yiran Wu · Rishab Balasubramanian · Qingyun Wu · Huazheng Wang · Mengdi Wang |
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Workshop
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Sat 9:36 |
[Paper-Oral 7] MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning Dong-Ki Kim · Sungryull Sohn · Lajanugen Logeswaran · Dongsub Shim · Honglak Lee |
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Poster
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Thu 15:00 |
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning Mathias Lechner · lianhao yin · Tim Seyde · Tsun-Hsuan Johnson Wang · Wei Xiao · Ramin Hasani · Joshua Rountree · Daniela Rus |
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Workshop
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Sat 9:15 |
Hierarchical Reinforcement Learning with AI Planning Models Junkyu Lee · Michael Katz · Don Joven Agravante · Miao Liu · Geraud Nangue Tasse · Tim Klinger · Shirin Sohrabi Araghi |
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Poster
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Wed 8:45 |
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents Zihao Wang · Shaofei Cai · Guanzhou Chen · Anji Liu · Xiaojian (Shawn) Ma · Yitao Liang |
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Poster
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Thu 8:45 |
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning Xin-Qiang Cai · Pushi Zhang · Li Zhao · Jiang Bian · Masashi Sugiyama · Ashley Llorens |
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Poster
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Wed 15:00 |
On Imitation in Mean-field Games Giorgia Ramponi · Pavel Kolev · Olivier Pietquin · Niao He · Mathieu Lauriere · Matthieu Geist |
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Poster
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Wed 8:45 |
Model-free Posterior Sampling via Learning Rate Randomization Daniil Tiapkin · Denis Belomestny · Daniele Calandriello · Eric Moulines · Remi Munos · Alexey Naumov · Pierre Perrault · Michal Valko · Pierre Ménard |
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Poster
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Tue 8:45 |
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ϵ-Greedy Exploration Shuai Zhang · Hongkang Li · Meng Wang · Miao Liu · Pin-Yu Chen · Songtao Lu · Songtao Lu · Sijia Liu · Keerthiram Murugesan · Subhajit Chaudhury |