Learning to Collaborate in Markov Decision Processes

23 January 2019

Papers citing "Learning to Collaborate in Markov Decision Processes"

9 / 9 papers shown

Title
Performative Reinforcement Learning Debmalya Mandal Stelios Triantafyllou Goran Radanović 33 18 0 30 Jun 2022
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure Hsu Kao Chen-Yu Wei V. Subramanian 15 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 39 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
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 32 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 25 82 0 08 Feb 2021
Near-Optimal Reinforcement Learning with Self-Play Yunru Bai Chi Jin Tiancheng Yu 19 129 0 22 Jun 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 19 11 0 16 Jun 2020
Towards Deployment of Robust AI Agents for Human-Machine Partnerships Ahana Ghosh Sebastian Tschiatschek Hamed Mahdavi Adish Singla 29 9 0 05 Oct 2019