Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1901.08029
Cited By
v1
v2 (latest)
Learning to Collaborate in Markov Decision Processes
23 January 2019
Goran Radanović
R. Devidze
David C. Parkes
Adish Singla
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning to Collaborate in Markov Decision Processes"
22 / 22 papers shown
Performative Reinforcement Learning in Gradually Shifting Environments
Ben Rank
Stelios Triantafyllou
Debmalya Mandal
Goran Radanović
OffRL
428
10
0
15 Feb 2024
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
International Conference on Machine Learning (ICML), 2023
Stelios Triantafyllou
A. Sukovic
Debmalya Mandal
Goran Radanović
507
0
0
17 Oct 2023
Performative Reinforcement Learning
International Conference on Machine Learning (ICML), 2022
Debmalya Mandal
Stelios Triantafyllou
Goran Radanović
423
25
0
30 Jun 2022
Admissible Policy Teaching through Reward Design
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kiarash Banihashem
Adish Singla
Jiarui Gan
Goran Radanović
277
16
0
06 Jan 2022
Interactive Inverse Reinforcement Learning for Cooperative Games
Thomas Kleine Buening
Anne-Marie George
Christos Dimitrakakis
198
7
0
08 Nov 2021
Decentralized Cooperative Reinforcement Learning with Hierarchical Information Structure
International Conference on Algorithmic Learning Theory (ALT), 2021
Hsu Kao
Chen-Yu Wei
V. Subramanian
385
16
0
01 Nov 2021
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL
Chi Jin
Qinghua Liu
Yuanhao Wang
Tiancheng Yu
OffRL
265
146
0
27 Oct 2021
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
International Conference on Machine Learning (ICML), 2021
Weichao Mao
Lin F. Yang
Jianchao Tan
Tamer Bacsar
337
62
0
12 Oct 2021
Reinforcement Learning Under Algorithmic Triage
Eleni Straitouri
Adish Singla
Vahid Balazadeh Meresht
Manuel Gomez Rodriguez
OffRL
215
21
0
23 Sep 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
262
8
0
30 Aug 2021
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition
International Conference on Learning Representations (ICLR), 2021
Wenhao Li
Xiangfeng Wang
Bo Jin
Junjie Sheng
H. Zha
405
14
0
21 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning
Kiarash Banihashem
Adish Singla
Goran Radanović
AAML
340
31
0
10 Feb 2021
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
Annual Conference Computational Learning Theory (COLT), 2021
Chen-Yu Wei
Chung-Wei Lee
Mengxiao Zhang
Haipeng Luo
267
90
0
08 Feb 2021
Provable Fictitious Play for General Mean-Field Games
Qiaomin Xie
Zhuoran Yang
Zhaoran Wang
Andreea Minca
289
19
0
08 Oct 2020
Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control
Weichao Mao
Jianchao Tan
Ruihao Zhu
D. Simchi-Levi
Tamer Bacsar
364
17
0
07 Oct 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments
Yingjie Fei
Zhuoran Yang
Zhaoran Wang
Qiaomin Xie
257
65
0
30 Jun 2020
Near-Optimal Reinforcement Learning with Self-Play
Yunru Bai
Chi Jin
Tiancheng Yu
445
145
0
22 Jun 2020
Classification Under Human Assistance
A. De
William Orchard
Ali Zarezade
Manuel Gomez Rodriguez
238
59
0
21 Jun 2020
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei
Chung-Wei Lee
Mengxiao Zhang
Haipeng Luo
440
11
0
16 Jun 2020
Learning to Switch Among Agents in a Team via 2-Layer Markov Decision Processes
Vahid Balazadeh Meresht
Abir De
Adish Singla
Manuel Gomez-Rodriguez
286
4
0
11 Feb 2020
Combining No-regret and Q-learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Ian A. Kash
Michael Sullins
Katja Hofmann
OffRL
362
17
0
07 Oct 2019
Towards Deployment of Robust AI Agents for Human-Machine Partnerships
Ahana Ghosh
Sebastian Tschiatschek
Hamed Mahdavi
Adish Singla
330
11
0
05 Oct 2019
1
Page 1 of 1
