Results 51 to 60 of about 1,083 (72)

Evolution of fish schools: a theoretical study by agent-based simulation and game-theoretic analysis [PDF]

open access: yes, 2017
This thesis aimed to identify the underlying mechanism which drives fish to evolve into the schooling behaviour under predation. Previous works used to explain this formation by group benefits, individual differences or evolutionary trade-offs.
Yang, Wen-Chi
core  

Gender, human rights and activisms: proceedings of the Fifth International Congress in Cultural Studies [PDF]

open access: yes, 2016
ISBN 978-­989­-99682-­0­-2It is becoming increasingly necessary in contemporary societies to build bridges between activism and academia in both theory and practice regarding gender inequality.
Baptista, Maria Manuel   +2 more
core  

Attention-Enabled Reinforcement Learning for Control of Scalable Multi-Agent Systems [PDF]

open access: yes
Multi-agent reinforcement learning has been the subject of considerable interest and effort for its potential as a means of specifying behavior policies for multi-agent systems.
Dailey, Joseph A.
core   +1 more source

UEG Week 2025 Moderated Posters

open access: yes
United European Gastroenterology Journal, Volume 13, Issue S8, Page S189-S802, October 2025.
wiley   +1 more source

Aligning Law and Action: a conceptual and computational inquiry [PDF]

open access: yes, 2016
Everyone experiences, at a certain point in life, that what the law states, how public services implement the law and how people actually behave are three different matters which are only loosely aligned.
Sileno, G.
core  

Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach

open access: yes
Robust Reinforcement Learning (RRL) is a promising Reinforcement Learning (RL) paradigm aimed at training robust to uncertainty or disturbances models, making them more efficient for real-world applications.
Kalev, Vitaly, Plaksin, Anton
core  

ePoster

open access: yes
European Journal of Neurology, Volume 32, Issue S1, June 2025.
wiley   +1 more source

Cat-and-Mouse Satellite Dynamics: Divergent Adversarial Reinforcement Learning for Contested Multi-Agent Space Operations

open access: yes
As space becomes increasingly crowded and contested, robust autonomous capabilities for multi-agent environments are gaining critical importance. Current autonomous systems in space primarily rely on optimization-based path planning or long-range orbital
Abramov, Joseph   +2 more
core  

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