Results 91 to 100 of about 3,268,435 (132)

Teaching on a budget: agents advising agents in reinforcement learning

Adaptive Agents and Multi-Agent Systems, 2013
This paper introduces a teacher-student framework for reinforcement learning. In this framework, a teacher agent instructs a student agent by suggesting actions the student should take as it learns.
Lisa A. Torrey, Matthew E. Taylor
semanticscholar   +1 more source

The StarCraft Multi-Agent Challenge

Adaptive Agents and Multi-Agent Systems, 2019
In the last few years, deep multi-agent reinforcement learning (RL) has become a highly active area of research. A particularly challenging class of problems in this area is partially observable, cooperative, multi-agent learning, in which teams of ...
Mikayel Samvelyan, Tabish Rashid, C. S. D. Witt, Gregory Farquhar, Nantas Nardelli, Tim G. J. Rudner, Chia-Man Hung, Philip H. S. Torr, Jakob N. Foerster, Shimon Whiteson   +9 more
semanticscholar   +1 more source

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward

Adaptive Agents and Multi-Agent Systems, 2018
We study the problem of cooperative multi-agent reinforcement learning with a single joint reward signal. This class of learning problems is difficult because of the often large combined action and observation spaces.
P. Sunehag, Guy Lever, A. Gruslys, Wojciech M. Czarnecki, V. Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, K. Tuyls, T. Graepel   +10 more
semanticscholar   +1 more source

Learning with Opponent-Learning Awareness

Adaptive Agents and Multi-Agent Systems, 2017
Multi-agent settings are quickly gathering importance in machine learning. This includes a plethora of recent work on deep multi-agent reinforcement learning, but also can be extended to hierarchical reinforcement learning, generative adversarial ...
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, P. Abbeel, Igor Mordatch   +5 more
semanticscholar   +1 more source

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Adaptive Agents and Multi-Agent Systems, 2017
Matrix games like Prisoner's Dilemma have guided research on social dilemmas for decades. However, they necessarily treat the choice to cooperate or defect as an atomic action.
Joel Z. Leibo, V. Zambaldi, Marc Lanctot, J. Marecki, T. Graepel   +4 more
semanticscholar   +1 more source

A survey and critique of multiagent deep reinforcement learning

Autonomous Agents and Multi-Agent Systems, 2018
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has led to a dramatic increase in the number of applications and methods.
Pablo Hernandez-Leal, Bilal Kartal, Matthew E. Taylor   +2 more
semanticscholar   +1 more source

Contraception: the Need for Expansion of Counsel in Adolescent and Young Adult (AYA) Cancer Care

Journal of Cancer Education, 2017
Olivia Fridgen, Ivana Šehović, Meghan Bowman, D. Reed, Christina L. Tamargo, S. Vadaparampil, G. Quinn   +6 more
semanticscholar   +2 more sources

Metal oxide nanoparticles as antimicrobial agents: a promise for the future.

International Journal of Antimicrobial Agents, 2017
Azhwar Raghunath, Ekambaram Perumal
semanticscholar   +1 more source

Reasoning about rational agents

Intelligent robots and autonomous agents, 2000
M. Wooldridge
semanticscholar   +1 more source

Copper complexes as anticancer agents.

Anti-Cancer Agents in Medicinal Chemistry, 2009
C. Marzano, M. Pellei, F. Tisato, C. Santini   +3 more
semanticscholar   +1 more source