Learning to Collaborate in Markov Decision Processes

Learning to Collaborate in Markov Decision Processes

23 January 2019

Goran Radanović

David C. Parkes

Papers citing "Learning to Collaborate in Markov Decision Processes"

11 / 11 papers shown

Title
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 36 18 0 30 Jun 2022
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Hsu Kao Chen-Yu Wei V. Subramanian 23 12 0 01 Nov 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning Weichao Mao Lin F. Yang Kaipeng Zhang Tamer Bacsar 43 57 0 12 Oct 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition Wenhao Li Xiangfeng Wang Bo Jin Junjie Sheng H. Zha 31 7 0 21 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 37 26 0 10 Feb 2021
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 32 82 0 08 Feb 2021
Near-Optimal Reinforcement Learning with Self-Play Yunru Bai Chi Jin Tiancheng Yu 24 130 0 22 Jun 2020
Classification Under Human Assistance A. De Nastaran Okati Ali Zarezade Manuel Gomez Rodriguez 16 49 0 21 Jun 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 21 11 0 16 Jun 2020
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 32 9 0 05 Oct 2019