Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

8 November 2021

Papers citing "Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems"

20 / 20 papers shown

Title
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction Ryan Dempsey Jonathan Ethier Halim Yanikomeroglu 41 2 0 04 Apr 2025
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks Hyunwoo Park Baekryun Seong Sang-Ki Ko GNN 65 0 0 14 Mar 2025
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue L. Pang Bo An Haipeng Chen Sanjay Chawla 41 3 0 02 May 2024
Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment Alireza Ganjdanesh Shangqian Gao Heng-Chiao Huang 36 5 0 28 Mar 2024
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph Qing Fu Tenghai Qiu Jianqiang Yi Zhiqiang Pu Xiaolin Ai 31 1 0 26 Mar 2024
A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments Jiayu Chen Guosheng Li Chao Yu Xinyi Yang Botian Xu Huazhong Yang Yu Wang 39 1 0 19 Dec 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning Jiayu Chen Zelai Xu Yunfei Li Chao Yu Jiaming Song Huazhong Yang Fei Fang Yu Wang Yi Wu 29 4 0 07 Oct 2023
Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning Pascal Klink Florian Wolf Kai Ploeger Jan Peters Joni Pajarinen 27 0 0 25 Sep 2023
On the Benefit of Optimal Transport for Curriculum Reinforcement Learning Pascal Klink Carlo DÉramo Jan Peters Joni Pajarinen 41 3 0 25 Sep 2023
Reward-Machine-Guided, Self-Paced Reinforcement Learning Cevahir Köprülü Ufuk Topcu 23 3 0 25 May 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement Learning Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 24 6 0 16 Mar 2023
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning R. Wang Longtao Zheng Wei Qiu Bowei He Bo An Zinovi Rabinovich Yujing Hu Yingfeng Chen Tangjie Lv Changjie Fan 33 1 0 07 Feb 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 33 36 0 09 Jan 2023
Reinforcement Learning with Success Induced Task Prioritization Maria Nesterova Alexey Skrynnik Aleksandr I. Panov 8 2 0 30 Dec 2022
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks Kuan Fang Toki Migimatsu Ajay Mandlekar Li Fei-Fei Jeannette Bohg 44 2 0 11 Nov 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 41 24 0 18 Oct 2022
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL R. Gorsane Omayma Mahjoub Ruan de Kock Roland Dubb Siddarth S. Singh Arnu Pretorius OffRL 39 49 0 21 Sep 2022
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning Nicolas Castanet Sylvain Lamprier Olivier Sigaud 17 2 0 14 Jun 2022
Learning Progress Driven Multi-Agent Curriculum Wenshuai Zhao Zhiyuan Li Joni Pajarinen 40 0 0 20 May 2022
Towards Continual Reinforcement Learning: A Review and Perspectives Khimya Khetarpal Matthew D Riemer Irina Rish Doina Precup CLL OffRL 49 310 0 25 Dec 2020