Representation Learning For Efficient Deep Multi-Agent Reinforcement
Learning

Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning

5 June 2024

Prasant Mohapatra

Papers citing "Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning"

7 / 7 papers shown

Title
Multi-agent Auto-Bidding with Latent Graph Diffusion Models Dom Huh P. Mohapatra DiffM AI4CE 41 0 0 04 Mar 2025
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Zican Hu Zongzhang Zhang Huaxiong Li Chunlin Chen Hongyu Ding Zhi Wang 62 8 0 08 Dec 2023
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
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control Yunbo Qiu Yuzhu Zhan Yue Jin Jian Wang Xudong Zhang 26 6 0 17 Sep 2022
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015