ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.04562
  4. Cited By
Multi-Agent Deep Reinforcement Learning with Human Strategies

Multi-Agent Deep Reinforcement Learning with Human Strategies

12 June 2018
Thanh Nguyen
Ngoc Duy Nguyen
S. Nahavandi
ArXivPDFHTML

Papers citing "Multi-Agent Deep Reinforcement Learning with Human Strategies"

15 / 15 papers shown
Title
A Human Mixed Strategy Approach to Deep Reinforcement Learning
A Human Mixed Strategy Approach to Deep Reinforcement Learning
Ngoc Duy Nguyen
S. Nahavandi
Thanh Nguyen
49
12
0
05 Apr 2018
A Multi-Objective Deep Reinforcement Learning Framework
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen
Ngoc Duy Nguyen
Peter Vamplew
Saeid Nahavandi
Richard Dazeley
Chee Peng Lim
OffRL
56
110
0
08 Mar 2018
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
117
3,282
0
12 Jun 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans
Jonathan Ho
Xi Chen
Szymon Sidor
Ilya Sutskever
86
1,536
0
10 Mar 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks
Reinforcement Learning with Unsupervised Auxiliary Tasks
Max Jaderberg
Volodymyr Mnih
Wojciech M. Czarnecki
Tom Schaul
Joel Z Leibo
David Silver
Koray Kavukcuoglu
SSL
74
1,228
0
16 Nov 2016
Learning Multiagent Communication with Backpropagation
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
186
1,143
0
25 May 2016
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Yannis Assael
Nando de Freitas
Shimon Whiteson
136
1,604
0
21 May 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal
  Abstraction and Intrinsic Motivation
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
Tejas D. Kulkarni
Karthik Narasimhan
A. Saeedi
J. Tenenbaum
65
1,134
0
20 Apr 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
175
8,832
0
04 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
219
9,298
0
14 Dec 2015
Dueling Network Architectures for Deep Reinforcement Learning
Dueling Network Architectures for Deep Reinforcement Learning
Ziyun Wang
Tom Schaul
Matteo Hessel
H. V. Hasselt
Marc Lanctot
Nando de Freitas
OffRL
88
3,749
0
20 Nov 2015
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
210
3,786
0
18 Nov 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
383
43,587
0
17 Sep 2014
Analysis of Watson's Strategies for Playing Jeopardy!
Analysis of Watson's Strategies for Playing Jeopardy!
Gerald Tesauro
David Gondek
J. Lenchner
James Fan
J. Prager
65
34
0
04 Feb 2014
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
100
3,002
0
19 Jul 2012
1