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2210.00849
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Scaling Laws for a Multi-Agent Reinforcement Learning Model
International Conference on Learning Representations (ICLR), 2022
29 September 2022
Oren Neumann
C. Gros
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Papers citing
"Scaling Laws for a Multi-Agent Reinforcement Learning Model"
26 / 26 papers shown
From generative AI to the brain: five takeaways
Frontiers in Computational Neuroscience (FCN), 2025
Claudius Gros
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20 Nov 2025
Efficient Prediction of Pass@k Scaling in Large Language Models
Joshua Kazdan
Rylan Schaeffer
Youssef Allouah
Colin Sullivan
Kyssen Yu
Noam Levi
Sanmi Koyejo
OffRL
187
6
0
06 Oct 2025
Model Merging Scaling Laws in Large Language Models
Yuanyi Wang
Yanggan Gu
Yiming Zhang
Qi Zhou
Zhaoyi Yan
C. Xie
X. Wang
Jianbo Yuan
Hongxia Yang
MoMe
387
2
0
29 Sep 2025
A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
Yunzhe Wang
Volkan Ustun
Chris McGroarty
150
1
0
08 Sep 2025
Small transformer architectures for task switching
International Conference on Artificial Neural Networks (ICANN), 2025
Claudius Gros
137
1
0
06 Aug 2025
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman
Michael Krumdick
A. Lynn Abbott
352
1
0
15 Jun 2025
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
OffRL
SSL
697
17
0
19 Mar 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
AAAI Conference on Artificial Intelligence (AAAI), 2025
Zhouyu He
Peng Qiao
Rongchun Li
Yong Dou
Yusong Tan
OffRL
448
0
0
27 Feb 2025
(Mis)Fitting: A Survey of Scaling Laws
Margaret Li
Sneha Kudugunta
Luke Zettlemoyer
479
14
0
26 Feb 2025
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
Ayan Sengupta
Ayan Sengupta
Tanmoy Chakraborty
604
4
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
431
19
0
07 Nov 2024
Scaling Optimal LR Across Token Horizons
International Conference on Learning Representations (ICLR), 2024
Johan Bjorck
Alon Benhaim
Vishrav Chaudhary
Furu Wei
Xia Song
603
23
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
316
10
0
13 Jun 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale
Emile Anand
Guannan Qu
413
9
0
01 Mar 2024
Understanding Model Selection For Learning In Strategic Environments
Neural Information Processing Systems (NeurIPS), 2024
Tinashe Handina
Eric Mazumdar
274
2
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
Agrim Gupta
N. Heess
Martin Riedmiller
OffRL
LRM
276
37
0
08 Feb 2024
Uncovering Neural Scaling Laws in Molecular Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Dingshuo Chen
Yanqiao Zhu
Jieyu Zhang
Yuanqi Du
Zhixun Li
Qiang Liu
Shu Wu
Liang Wang
325
25
0
15 Sep 2023
Pretraining on the Test Set Is All You Need
Rylan Schaeffer
286
41
0
13 Sep 2023
Beyond Scale: The Diversity Coefficient as a Data Quality Metric for Variability in Natural Language Data
Brando Miranda
Alycia Lee
Sudharsan Sundar
Allison Casasola
Rylan Schaeffer
Elyas Obbad
Sanmi Koyejo
683
17
0
24 Jun 2023
Revisiting the Minimalist Approach to Offline Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Denis Tarasov
Vladislav Kurenkov
Alexander Nikulin
Sergey Kolesnikov
OffRL
422
98
0
16 May 2023
Are Emergent Abilities of Large Language Models a Mirage?
Neural Information Processing Systems (NeurIPS), 2023
Rylan Schaeffer
Alycia Lee
Oluwasanmi Koyejo
LRM
519
618
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28 Apr 2023
To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency
Daniel Fernando Campos
Chengxiang Zhai
385
2
0
05 Apr 2023
Scaling laws for single-agent reinforcement learning
Jacob Hilton
Jie Tang
John Schulman
357
36
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
150
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
261
38
0
21 Nov 2022
Broken Neural Scaling Laws
International Conference on Learning Representations (ICLR), 2022
Ethan Caballero
Kshitij Gupta
Irina Rish
David M. Krueger
1.2K
105
0
26 Oct 2022
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