Title
Decentralized Distributed Proximal Policy Optimization (DD-PPO) for High Performance Computing Scheduling on Multi-User Systems Matthew Sgambati Aleksandar Vakanski Matthew Anderson 37 0 0 06 May 2025
Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks Vishnu Sarukkai Zhiqiang Xie Kayvon Fatahalian LLMAG 75 0 0 01 May 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 209 0 0 27 Apr 2025
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 70 0 0 25 Apr 2025
Improving Human-AI Coordination through Adversarial Training and Generative Models Paresh Chaudhary Yancheng Liang Daphne Chen S. Du Natasha Jaques 73 0 0 21 Apr 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 47 0 0 25 Jan 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 99 2 0 22 Jan 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 42 17 0 03 Jan 2025
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Weihao Zeng Yuzhen Huang Lulu Zhao Yijun Wang Zifei Shan Junxian He LRM 55 9 0 23 Dec 2024
Proximal Policy Distillation Giacomo Spigler OffRL 28 1 0 21 Jul 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 58 4 0 12 Apr 2024
PeLLE: Encoder-based language models for Brazilian Portuguese based on open data Guilherme Lamartine de Mello Marcelo Finger F. Serras M. Carpi Marcos Menon Jose Pedro Henrique Domingues Paulo Cavalim 39 0 0 29 Feb 2024
Optimizing Neural Networks with Gradient Lexicase Selection Lijie Ding Lee Spector 44 20 0 19 Dec 2023
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 26 0 0 29 Oct 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 56 3 0 23 Oct 2023
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang Shao Zhang Wenhao Zhang Wentao Dong Jingxiao Chen Ying Wen Weinan Zhang 51 8 0 08 Oct 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework Woojun Kim Jeonghye Kim Young-Jin Sung 28 5 0 05 Oct 2023
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models Saaket Agashe Yue Fan Anthony Reyna Xin Eric Wang LLMAG LRM 102 10 0 05 Oct 2023
Deep learning-based denoising streamed from mobile phones improves speech-in-noise understanding for hearing aid users P. U. Diehl Hannes Zilly Felix Sattler Y. Singer Kevin Kepp ... Paul Meyer-Rachner A. Pudszuhn V. Hofmann M. Vormann Elias Sprengel 37 3 0 22 Aug 2023
Targeted and Troublesome: Tracking and Advertising on Children's Websites Zahra Moti Asuman Senol Hamid Bostani F. Z. Borgesius Veelasha Moonsamy Arunesh Mathur Gunes Acar 51 2 0 09 Aug 2023
QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration Félix Chalumeau Bryan Lim Raphael Boige Maxime Allard Luca Grillotti Manon Flageat Valentin Macé Arthur Flajolet Thomas Pierrot Antoine Cully 34 21 0 07 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 47 0 0 28 Jul 2023
Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination Yang Li Shao Zhang Jichen Sun Wenhao Zhang Yali Du Ying Wen Xinbing Wang Wei Pan 37 13 0 05 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 46 5 0 18 May 2023
Centralized control for multi-agent RL in a complex Real-Time-Strategy game Roger Creus Castanyer 21 2 0 25 Apr 2023
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective Yiming Gao Feiyu Liu Liang Wang Zhenjie Lian Weixuan Wang ... Jiawei Wang Qiang Fu Wei Yang Lanxiao Huang Wei Liu 45 7 0 23 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 32 1 0 20 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Qiqi Duan Chang Shao Guochen Zhou Hao Yang Qi Zhao Yuhui Shi 25 4 0 11 Apr 2023
Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents Malte Lehna J. Viebahn Christoph Scholz Antoine Marot Sven Tomforde 32 19 0 03 Apr 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 37 8 0 09 Mar 2023
Cooperative Open-ended Learning Framework for Zero-shot Coordination Yang Li Shao Zhang Jichen Sun Yali Du Ying Wen Xinbing Wang Wei Pan 32 22 0 09 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 40 110 0 18 Jan 2023
Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs Z. Kraljevic D. Bean Anthony Shek R. Bendayan H. Hemingway ... Alfie Baston Jack Ross Esther Idowu J. Teo Richard J. B. Dobson AI4TS 24 20 0 13 Dec 2022
evosax: JAX-based Evolution Strategies R. T. Lange 38 54 0 08 Dec 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 23 4 0 22 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization R. T. Lange Tom Schaul Yutian Chen Tom Zahavy Valenti Dallibard Chris Xiaoxuan Lu Satinder Singh Sebastian Flennerhag 49 47 0 21 Nov 2022
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 29 24 0 26 Oct 2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations Zhaoqi Leng Guowang Li Chenxi Liu E. D. Cubuk Pei Sun Tong He Drago Anguelov Mingxing Tan 3DPC 41 9 0 24 Oct 2022
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR Gary Wang Ekin D.Cubuk Andrew Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel S. Park 30 1 0 19 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network Models Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 60 29 0 29 Sep 2022
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning HyunJae Lee Gihyeon Lee Junh-Nam Kim Sungjun Cho Dohyun Kim Donggeun Yoo 44 3 0 26 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 36 5 0 21 Sep 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
Benchmarking Transformers-based models on French Spoken Language Understanding tasks Oralie Cattan Sahar Ghannay Christophe Servan Sophie Rosset 36 4 0 19 Jul 2022
Fast Population-Based Reinforcement Learning on a Single Machine Arthur Flajolet Claire Bizon Monroc Karim Beguir Thomas Pierrot OffRL 35 10 0 17 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Rameswar Panda Marc G. Bellemare OffRL OnRL 37 63 0 03 Jun 2022
muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems Andrea Gesmundo J. Dean 36 19 0 22 May 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 41 4 0 20 May 2022