Scaling Laws for a Multi-Agent Reinforcement Learning Model

29 September 2022

Papers citing "Scaling Laws for a Multi-Agent Reinforcement Learning Model"

21 / 21 papers shown

Title
1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang Ishaan Javali Michał Bortkiewicz Tomasz Trzciñski Benjamin Eysenbach SSL OffRL 72 0 0 19 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies Zhouyu He Peng Qiao Rongchun Li Yong Dou Yusong Tan OffRL 59 0 0 27 Feb 2025
(Mis)Fitting: A Survey of Scaling Laws Margaret Li Sneha Kudugunta Luke Zettlemoyer 69 2 0 26 Feb 2025
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines Ayan Sengupta Yash Goel Tanmoy Chakraborty 50 0 0 17 Feb 2025
Scaling Laws for Pre-training Agents and World Models Tim Pearce Tabish Rashid Dave Bignell Raluca Georgescu Sam Devlin Katja Hofmann LM&Ro 42 6 0 07 Nov 2024
Scaling Optimal LR Across Token Horizons Johan Bjorck Alon Benhaim Vishrav Chaudhary Furu Wei Xia Song 54 4 0 30 Sep 2024
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations Rylan Schaeffer Victor Lecomte Dhruv Pai Andres Carranza Berivan Isik ... Yann LeCun SueYeon Chung Andrey Gromov Ravid Shwartz-Ziv Sanmi Koyejo 49 6 0 13 Jun 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale Emile Anand Guannan Qu 47 5 0 01 Mar 2024
Understanding Model Selection For Learning In Strategic Environments Tinashe Handina Eric Mazumdar 25 0 0 12 Feb 2024
Offline Actor-Critic Reinforcement Learning Scales to Large Models Jost Tobias Springenberg A. Abdolmaleki Jingwei Zhang Oliver Groth Michael Bloesch ... Sarah Bechtle Steven Kapturowski Roland Hafner N. Heess Martin Riedmiller OffRL LRM 27 12 0 08 Feb 2024
Uncovering Neural Scaling Laws in Molecular Representation Learning Dingshuo Chen Yanqiao Zhu Jieyu Zhang Yuanqi Du Zhixun Li Qiang Liu Shu Wu Liang Wang 32 16 0 15 Sep 2023
Pretraining on the Test Set Is All You Need Rylan Schaeffer 18 28 0 13 Sep 2023
Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data Alycia Lee Brando Miranda Sudharsan Sundar Sanmi Koyejo 40 17 0 24 Jun 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning Denis Tarasov Vladislav Kurenkov Alexander Nikulin Sergey Kolesnikov OffRL 33 37 0 16 May 2023
Are Emergent Abilities of Large Language Models a Mirage? Rylan Schaeffer Brando Miranda Oluwasanmi Koyejo LRM 44 396 0 28 Apr 2023
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency Daniel Fernando Campos Chengxiang Zhai 24 2 0 05 Apr 2023
Scaling laws for single-agent reinforcement learning Jacob Hilton Jie Tang John Schulman 22 20 0 31 Jan 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning Niko A. Grupen M. Hanlon Alexis Hao Daniel D. Lee B. Selman 27 0 0 27 Jan 2023
Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback Josh Abramson Arun Ahuja Federico Carnevale Petko Georgiev Alex Goldin ... Tamara von Glehn Greg Wayne Nathaniel Wong Chen Yan Rui Zhu 41 27 0 21 Nov 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 30 74 0 26 Oct 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020