NeurIPS 2023 Workshop ALOE Submissions

DOGE: Domain Reweighting with Generalization Estimation
Simin Fan, Matteo Pagliardini, Martin Jaggi
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Learning to Act without Actions
Dominik Schmidt, Minqi Jiang
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
JARVIS-1: Open-world Multi-task Agents with Memory-Augmented Multimodal Language Models
Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Mastering Memory Tasks with World Models
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Diversity from Human Feedback
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, QIANG FU, Chao Qian
- Published: 28 Oct 2023, Last Modified: 10 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Syllabus: Curriculum Learning Made Easy
Ryan Sullivan
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Adaptive Coalition Structure Generation
Lucia Cipolina-Kun, Ignacio Carlucho, Kalesha Bullard
- Published: 28 Oct 2023, Last Modified: 10 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers
Taewook Nam, Juyong Lee, Jesse Zhang, Sung Ju Hwang, Joseph J Lim, Karl Pertsch
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Quality Diversity in the Amorphous Fortress: Evolving for Complexity in 0-Player Games
Sam Earle, M Charity, Julian Togelius, Dipika Rajesh
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang, Michael D Dennis, Edward Grefenstette, Tim Rocktäschel
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Curriculum Learning from Smart Retail Investors: Towards Financial Open-endedness
Kent Wu, Ziyi Xia, Shuaiyu Chen, Xiao-Yang Liu
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft
Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Noisy ZSC: Breaking The Common Knowledge Assumption In Zero-Shot Coordination Games
Usman Anwar, Jia Wan, David Krueger, Jakob Nicolaus Foerster
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Vision-Language Models as a Source of Rewards
Kate Baumli, Satinder Singh, Feryal Behbahani, Harris Chan, Gheorghe Comanici, Sebastian Flennerhag, Maxime Gazeau, Kristian Holsheimer, Dan Horgan, Michael Laskin, Clare Lyle, Volodymyr Mnih, Alexander Neitz, Fabio Pardo, Jack Parker-Holder, John Quan, Tim Rocktäschel, Himanshu Sahni, Tom Schaul, Yannick Schroecker et al. (4 additional authors not shown)
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning
Rupali Bhati, SaiKrishna Gottipati, Clodéric Mars, Matthew E. Taylor
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Gregory Schott, Joel Lehman
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Multi-Agent Diagnostics for Robustness via Illuminated Diversity
Mikayel Samvelyan, Davide Paglieri, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
HomeRobot: Open-Vocabulary Mobile Manipulation
Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S Wang, Mukul Khanna, Theophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M Turner, Zsolt Kira, Manolis Savva, Angel X Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration
Yuqing Du, Eliza Kosoy, Alyssa Li Dayan, Maria Rufova, Alison Gopnik, Pieter Abbeel
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Emergence of collective open-ended exploration from Decentralized Meta-Reinforcement learning
Richard Bornemann, Gautier Hamon, Eleni Nisioti, Clément Moulin-Frier
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
AssemblyCA: A Benchmark of Open-Endedness for Discrete Cellular Automata
Keith Yuan Patarroyo, Abhishek Sharma, Sara Walker, Lee Cronin
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Objectives Are All You Need: Solving Deceptive Problems Without Explicit Diversity Maintenance
Ryan Boldi, Li Ding, Lee Spector
- Published: 28 Oct 2023, Last Modified: 11 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
ACES: generating diverse programming puzzles with autotelic language models and semantic descriptors
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
JaxMARL: Multi-Agent RL Environments in JAX
Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Akbir Khan, Christian Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Tjarko Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Nicolaus Foerster
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Training Reinforcement Learning Agents and Humans with Difficulty-Conditioned Generators
Sidney Tio, Pradeep Varakantham
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone