Results 141 to 150 of about 3,676,362 (186)

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

Potential of organogel-based colloidal hydrogels for new cosmetic formulations.

International Journal of Cosmetic Science
OBJECTIVE The cosmetics industry is always seeking new formulations that offer pleasant and effective textures. This study aimed to explore new systems based on aqueous dispersions of organogel particles capable of forming colloidal hydrogels.
Andrea Gregorio Gomes, L. Broche, B. Payre, E. Perez, C. Picard, S. Franceschi   +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

Sodium Alginate Aerogel as a Carrier of Organogelators for Effective Oil Spill Solidification and Recovery.

Langmuir
Marine oil spills pose a serious threat to the marine ecological environment. Phase-selective organogelators (PSOGs) are ideal candidates for oil spill gelation when used in combination with a mechanical recovery method.
Ying Xue, Yun Shen, Xiuping Chen, Limei Dong, Junfeng Li, Yihao Guan, Yiming Li   +6 more
semanticscholar   +1 more source

A novel multi-stimuli responsive gelator based on D-gluconic acetal and its potential applications.

Chemical Communications, 2016
Xidong Guan, Kaiqi Fan, Tongyang Gao, Anping Ma, Bao Zhang, Jian Song   +5 more
semanticscholar   +1 more source

A rheological analysis of structured water-in-olive oil emulsions

, 2011
Francesca R. Lupi, D. Gabriele, B. Cindio, M. Sánchez, C. Gallegos   +4 more
semanticscholar   +1 more source

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

Organogels: A Versatile Drug Delivery Tool in Pharmaceuticals

, 2018
Jobin Jose, K. Gopalan
semanticscholar   +1 more source