Title
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Model-Based Simulation for Optimising Smart Reply Benjamin Towle Ke Zhou 32 1 0 26 May 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning Daniel Waelchli Pascal Weber P. Koumoutsakos AI4CE 17 4 0 17 May 2023
Adaptive Feature Fusion: Enhancing Generalization in Deep Learning Models Neelesh Mungoli 28 23 0 04 Apr 2023
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Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 20 2 0 29 Mar 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 34 1 0 17 Mar 2023
A Reinforcement Learning Approach for Scheduling Problems With Improved Generalization Through Order Swapping Deepak Vivekanandan Samuel Wirth Patrick Karlbauer Noah Klarmann 16 6 0 27 Feb 2023
TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play Fanqing Lin Shiyu Huang Tim Pearce Wenze Chen Weijuan Tu 26 17 0 15 Feb 2023
Energy Efficiency of Training Neural Network Architectures: An Empirical Study Yi Xu Silverio Martínez-Fernández Matias Martinez Xavier Franch 20 13 0 02 Feb 2023
Policy-Value Alignment and Robustness in Search-based Multi-Agent Learning Niko A. Grupen M. Hanlon Alexis Hao Daniel D. Lee B. Selman 19 0 0 27 Jan 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 21 4 0 24 Jan 2023
Character Simulation Using Imitation Learning With Game Engine Physics Joao Rodrigues R. Nóbrega AI4CE 14 2 0 05 Jan 2023
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Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni Yulin Wang Jiangwei Yu Haojun Jiang Yu Cao Gao Huang VLM 18 11 0 08 Dec 2022
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety Kai Hsu D. Nguyen J. F. Fisac 23 30 0 06 Dec 2022
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 25 0 0 23 Nov 2022
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System Luca Marchionna G. Pugliese Mauro Martini Simone Angarano Francesco Salvetti Marcello Chiaberge 41 3 0 15 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration Mesut Yang Micah Carroll Anca Dragan 29 13 0 03 Nov 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 21 74 0 26 Oct 2022
Will we run out of data? Limits of LLM scaling based on human-generated data Pablo Villalobos A. Ho J. Sevilla T. Besiroglu Lennart Heim Marius Hobbhahn ALM 33 109 0 26 Oct 2022
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations Kai Yan A. Schwing Yu-xiong Wang OffRL 30 2 0 18 Oct 2022
The Debate Over Understanding in AI's Large Language Models Melanie Mitchell D. Krakauer ELM 74 203 0 14 Oct 2022
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning Thomas Mullor David Vigouroux Louis Bethune 14 0 0 13 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann C. Gros 24 26 0 29 Sep 2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 30 11 0 27 Sep 2022
Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning Baichuan Huang Abdeslam Boularias Jingjin Yu 12 9 0 14 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng Min-Bin Lin Shengyi Huang Bo Liu Denys Makoviichuk ... Yufan Song Ting Luo Yukun Jiang Zhongwen Xu Shuicheng Yan MoE 11 59 0 21 Jun 2022
A Survey on Model-based Reinforcement Learning Fan Luo Tian Xu Hang Lai Xiong-Hui Chen Weinan Zhang Yang Yu OffRL LRM 44 101 0 19 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 42 348 0 17 Jun 2022
Rapid Learning of Spatial Representations for Goal-Directed Navigation Based on a Novel Model of Hippocampal Place Fields Adedapo Alabi D. Vanderelst A. Minai 9 2 0 05 Jun 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search Michał Zawalski Michał Tyrolski K. Czechowski Tomasz Odrzygó'zd'z Damian Stachura Piotr Pikekos Yuhuai Wu Lukasz Kuciñski Piotr Milo's LRM 13 8 0 01 Jun 2022
HyperTree Proof Search for Neural Theorem Proving Guillaume Lample Marie-Anne Lachaux Thibaut Lavril Xavier Martinet Amaury Hayat Gabriel Ebner Aurelien Rodriguez Timothée Lacroix AIMat 23 133 0 23 May 2022
Chain of Thought Imitation with Procedure Cloning Mengjiao Yang Dale Schuurmans Pieter Abbeel Ofir Nachum OffRL 30 29 0 22 May 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 30 59 0 03 May 2022
Graph Neural Network based Agent in Google Research Football Yizhan Niu Jinglong Liu Yuhao Shi Jiren Zhu GNN 21 2 0 23 Apr 2022
Adversarial Learning to Reason in an Arbitrary Logic Stanislaw J. Purgal C. Kaliszyk 27 1 0 06 Apr 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 25 26 0 30 Mar 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri P. Koumoutsakos CLL OffRL 10 7 0 24 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics Honghu Xue Benedikt Hein M. Bakr Georg Schildbach Bengt Abel Elmar Rueckert 16 15 0 23 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions Robert Meier Asier Mujika 37 7 0 16 Feb 2022
Compute Trends Across Three Eras of Machine Learning J. Sevilla Lennart Heim A. Ho T. Besiroglu Marius Hobbhahn Pablo Villalobos 25 269 0 11 Feb 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks Maja Franz Lucas Wolf Maniraman Periyasamy Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler Wolfgang Mauerer 24 29 0 10 Feb 2022
Formal Mathematics Statement Curriculum Learning Stanislas Polu Jesse Michael Han Kunhao Zheng Mantas Baksys Igor Babuschkin Ilya Sutskever AIMat 81 116 0 03 Feb 2022
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 27 166 0 08 Dec 2021
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL Charles Packer Pieter Abbeel Joseph E. Gonzalez OffRL 21 18 0 02 Dec 2021