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A Deep Policy Inference Q-Network for Multi-Agent Systems

A Deep Policy Inference Q-Network for Multi-Agent Systems

21 December 2017
Zhang-Wei Hong
Shih-Yang Su
Tzu-Yun Shann
Yi-Hsiang Chang
Chun-Yi Lee
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Papers citing "A Deep Policy Inference Q-Network for Multi-Agent Systems"

15 / 15 papers shown
Title
Autonomous Driving at Unsignalized Intersections: A Review of
  Decision-Making Challenges and Reinforcement Learning-Based Solutions
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad K. Al-Sharman
Luc Edes
Bert Sun
Vishal Jayakumar
Mohamed A. Daoud
Derek Rayside
W. Melek
29
1
0
20 Sep 2024
The Curse of Diversity in Ensemble-Based Exploration
The Curse of Diversity in Ensemble-Based Exploration
Zhixuan Lin
P. DÓro
Evgenii Nikishin
Rameswar Panda
44
1
0
07 May 2024
Multi-agent Reinforcement Learning: A Comprehensive Survey
Multi-agent Reinforcement Learning: A Comprehensive Survey
Dom Huh
Prasant Mohapatra
AI4CE
36
8
0
15 Dec 2023
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
Ariyan Bighashdel
Daan de Geus
P. Jancura
Gijs Dubbelman
OffRL
LRM
18
1
0
04 Apr 2023
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
46
2
0
12 Jul 2022
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
21
2
0
22 Mar 2022
Efficient Use of heuristics for accelerating XCS-based Policy Learning
  in Markov Games
Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games
Hao Chen
Chang Wang
Jian Huang
Jianxing Gong
13
5
0
26 May 2020
Learning Fairness in Multi-Agent Systems
Learning Fairness in Multi-Agent Systems
Jiechuan Jiang
Zongqing Lu
16
69
0
31 Oct 2019
Tactical Reward Shaping: Bypassing Reinforcement Learning with
  Strategy-Based Goals
Tactical Reward Shaping: Bypassing Reinforcement Learning with Strategy-Based Goals
Yizheng Zhang
A. Rosendo
17
6
0
08 Oct 2019
A Sufficient Statistic for Influence in Structured Multiagent
  Environments
A Sufficient Statistic for Influence in Structured Multiagent Environments
F. Oliehoek
Stefan J. Witwicki
L. Kaelbling
20
23
0
22 Jul 2019
Robust Temporal Difference Learning for Critical Domains
Robust Temporal Difference Learning for Critical Domains
R. Klíma
D. Bloembergen
Michael Kaisers
K. Tuyls
AAML
15
11
0
23 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of
  Challenges, Solutions and Applications
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen
Ngoc Duy Nguyen
S. Nahavandi
27
774
0
31 Dec 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent
  Environments
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
S. Srinivasan
Marc Lanctot
V. Zambaldi
Julien Perolat
K. Tuyls
Rémi Munos
Michael Bowling
8
148
0
21 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
43
551
0
12 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
595
0
28 Feb 2017
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