Agent Modelling under Partial Observability for Deep Reinforcement Learning

16 June 2020

Papers citing "Agent Modelling under Partial Observability for Deep Reinforcement Learning"

35 / 35 papers shown

Title
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Andreas Kontogiannis Konstantinos Papathanasiou Yi Shen Giorgos Stamou Michael M. Zavlanos G. Vouros 38 0 0 08 May 2025
Belief States for Cooperative Multi-Agent Reinforcement Learning under Partial Observability Paul J. Pritz K. Leung 38 0 0 11 Apr 2025
Boosting Offline Optimizers with Surrogate Sensitivity Manh Cuong Dao Phi Le Nguyen Thao Nguyen Truong Trong Nghia Hoang OffRL 59 4 0 06 Mar 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 88 34 0 03 Jan 2025
Learning to Cooperate with Humans using Generative Agents Yancheng Liang Daphne Chen Abhishek Gupta S. Du Natasha Jaques SyDa 88 4 0 21 Nov 2024
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning Dongsu Lee Minhae Kwon 31 0 0 22 Oct 2024
Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave Sagar Parekh Lauren Bramblett Nicola Bezzo Dylan P. Losey 32 0 0 20 Sep 2024
Leveraging Large Language Model for Heterogeneous Ad Hoc Teamwork Collaboration Xinzhu Liu Peiyan Li Wenju Yang Di Guo Huaping Liu 39 6 0 18 Jun 2024
N-Agent Ad Hoc Teamwork C. Wang Arrasy Rahman Ishan Durugkar Elad Liebman Peter Stone 36 2 0 16 Apr 2024
SUB-PLAY: Adversarial Policies against Partially Observed Multi-Agent Reinforcement Learning Systems Oubo Ma Yuwen Pu L. Du Yang Dai Ruo Wang Xiaolei Liu Yingcai Wu Shouling Ji AAML 33 3 0 06 Feb 2024
Contrastive learning-based agent modeling for deep reinforcement learning Wenhao Ma Yu-Cheng Chang Jie Yang Yu-Kai Wang Chin-Teng Lin OffRL 27 0 0 30 Dec 2023
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation Jiachen Li David Isele Kanghoon Lee Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 34 7 0 27 Nov 2023
Fact-based Agent modeling for Multi-Agent Reinforcement Learning Baofu Fang Caiming Zheng Hao Wang OffRL 16 0 0 18 Oct 2023
Learning to Coordinate with Anyone Lei Yuan Lihe Li Ziqian Zhang F. Chen Tianyi Zhang Cong Guan Yang Yu Zhi-Hua Zhou LLMAG 28 4 0 22 Sep 2023
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents Arrasy Rahman Jiaxun Cui Peter Stone 12 9 0 18 Aug 2023
Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction Kaiqi Chen Jing Yu Lim Kingsley Kuan Harold Soh 27 0 0 12 Aug 2023
Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning Guy Azran Mohamad H. Danesh Stefano V. Albrecht Sarah Keren AI4CE 34 1 0 11 Jul 2023
CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning Nikunj Gupta Somjit Nath Samira Ebrahimi Kahou 25 0 0 19 Jun 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification Dong Xing Pengjie Gu Qian Zheng Xinrun Wang Shanqi Liu Longtao Zheng Bo An Gang Pan 18 2 0 19 Jun 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu Rohan Chandra Tianrui Guan Amrit Singh Bedi Tianyi Zhou 34 4 0 09 Jun 2023
EMOTE: An Explainable architecture for Modelling the Other Through Empathy M. Senadeera Thommen Karimpanal George Sunil R. Gupta Stephan Jacobs Santu Rana 14 1 0 01 Jun 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang Lei Yuan Lihe Li Ke Xue Chengxing Jia Cong Guan Chao Qian Yang Yu 32 8 0 10 May 2023
Latent Interactive A2C for Improved RL in Open Many-Agent Systems Keyang He Prashant Doshi Bikramjit Banerjee OffRL 28 3 0 09 May 2023
Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning Claude Formanek C. Tilbury Jonathan P. Shock Kale-ab Tessera Arnu Pretorius 29 3 0 31 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 22 1 0 14 Mar 2023
Decision-making with Speculative Opponent Models Jing-rong Sun Shuo Chen Cong Zhang Yining Ma Jie Zhang 28 1 0 22 Nov 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos Diogo S. Carvalho Miguel Vasco Alberto Sardinha Pedro A. Santos Ana Paiva Francisco S. Melo 21 1 0 12 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 48 8 0 11 Oct 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 33 10 0 27 Aug 2022
Deep Reinforcement Learning for Multi-Agent Interaction I. Ahmed Cillian Brewitt Ignacio Carlucho Filippos Christianos Mhairi Dunion ... Lukas Schafer Massimiliano Tamborski Giuseppe Vecchio Cheng Wang Stefano V. Albrecht DRL AI4CE 11 11 0 02 Aug 2022
Generating Teammates for Training Robust Ad Hoc Teamwork Agents via Best-Response Diversity Arrasy Rahman Elliot Fosong Ignacio Carlucho Stefano V. Albrecht 11 7 0 28 Jul 2022
Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning Lukas Schafer Filippos Christianos Amos Storkey Stefano V. Albrecht 16 6 0 05 Jul 2022
Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games Ziyi Liu Xian Guo Yongchun Fang 18 0 0 31 May 2022
Verified Probabilistic Policies for Deep Reinforcement Learning E. Bacci David Parker 16 4 0 10 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015