NeurIPS 2023 Workshop ALOE Submissions

Quality Diversity through Human Feedback
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Spotlight
- Readers: Everyone
PufferLib: Making Reinforcement Learning Libraries and Environments Play Nice
Joseph Suarez
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
How the level sampling process impacts zero-shot generalisation in deep reinforcement learning
Samuel Garcin, James Doran, Shangmin Guo, Christopher G. Lucas, Stefano V Albrecht
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Nan Duan, Weizhu Chen
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Mix-ME: Quality-Diversity for Multi-Agent Learning
Garðar Ingvarsson, Mikayel Samvelyan, Manon Flageat, Bryan Lim, Antoine Cully, Tim Rocktäschel
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang, Joel Lehman, Kenneth Stanley, Jeff Clune
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Spotlight
- Readers: Everyone
Eureka: Human-Level Reward Design via Coding Large Language Models
Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Linxi Fan, Anima Anandkumar
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Spotlight
- Readers: Everyone
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning
Violet Xiang, Logan Cross, Jan-Philipp Fränken, Nick Haber
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
SmartPlay : A Benchmark for LLMs as Intelligent Agents
Yue Wu, Xuan Tang, Tom Mitchell, Yuanzhi Li
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Discovering Temporally-Aware Reinforcement Learning Algorithms
Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
- Published: 28 Oct 2023, Last Modified: 14 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims, Cong Lu, Yee Whye Teh
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Exploration with Principles for Diverse AI Supervision
Hao Liu, Matei Zaharia, Pieter Abbeel
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Mini-BEHAVIOR: A Procedurally Generated Benchmark for Long-horizon Decision-Making in Embodied AI
Emily Jin, Jiaheng Hu, Zhuoyi Huang, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Roberto Martín-Martín
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
AgentTorch: Agent-based Modeling with Automatic Differentiation
Ayush Chopra, Jayakumar Subramanian, Balaji Krishnamurthy, Ramesh Raskar
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Voyager: An Open-Ended Embodied Agent with Large Language Models
Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, Anima Anandkumar
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Spotlight
- Readers: Everyone
Skill-Conditioned Policy Optimization with Successor Features Representations
Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Diverse Offline Imitation Learning
Marin Vlastelica, Jin Cheng, Georg Martius, Pavel Kolev
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
WebArena: A Realistic Web Environment for Building Autonomous Agents
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Spotlight
- Readers: Everyone
Does behavioral diversity in intrinsic rewards help exploration?
Aya Kayal, Eduardo Pignatelli, Laura Toni
- Published: 28 Oct 2023, Last Modified: 13 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Toward Open-ended Embodied Tasks Solving
Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li
- Published: 28 Oct 2023, Last Modified: 10 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Improving Intrinsic Exploration by Creating Stationary Objectives
Roger Creus Castanyer, Joshua Romoff, Glen Berseth
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Steven Kapturowski, Alaa Saade, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
- Published: 28 Oct 2023, Last Modified: 07 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone
Rethinking Teacher-Student Curriculum Learning under the Cooperative Mechanics of Experience
Manfred Diaz, Liam Paull, Andrea Tacchetti
- Published: 28 Oct 2023, Last Modified: 12 Dec 2023
- ALOE 2023 Poster
- Readers: Everyone