Results 121 to 130 of about 18,568,643 (214)

DCOPS and bandits: Exploration and exploitation in decentralised coordination

, 2012
Real life coordination problems are characterised by stochasticity and a lack of a priori knowledge about the interactions between agents. However, decentralised constraint optimisation problems (DCOPs), a widely adopted framework for modelling ...
Jennings, Nick, Tran-Thanh, Long, Fave, Francesco Maria Delle, Delle Fave, Francesco Maria, Stranders, Ruben, Rogers, Alex   +5 more
core   +1 more source

Multi–Armed Bandit Models for Efficient Long–Term Information Collection in Wireless Sensor Networks

We are entering a new age in the evolution of computer systems, in which pervasive computing technologies seamlessly interact with human users. These technologies serve people in their everyday lives at home and work by functioning invisibly in the ...
Tran-Thanh, Long
core   +1 more source

Cortical Microstructural Variations Correlate With Individual Differences in Gamified Exploration-Exploitation Behaviours. [PDF]

Comput Psychiatr
Tyrer A, Nikolova N, Dubois M, Banellis L, Vejlø M, Hauser TU, Allen M.   +6 more
europepmc   +2 more sources

Large-scale integrated optoelectronic chaos for machine learning acceleration. [PDF]

Nat Commun
Pan Z, Zheng Z, Li P, Wang H, Guo J, Cui D, Li Z, Shen J, Wang L, Zong M, Li S, Kang Z, Yuan Y, Hu J, He J, Liang Y, Zhu D, Pan S.   +17 more
europepmc   +1 more source

Evaluation of performance: multi-armed bandit vs. contextual bandit [PDF]

Master of ScienceDepartment of Computer ScienceWilliam H. HsuThis work compares two methods, the multi-armed bandit (MAB) and contextual multi-armed bandit (CMAB), for action recommendation in a sequential decision making domain.
Chatterjee, Ranojoy
core  

Deterministic dynamics of distributional multi-agent reinforcement learning. [PDF]

PLoS Comput Biol
Bergerot C, Romanczuk P, Barfuss W.
europepmc   +1 more source

Decision tree and reinforcement learning for contextual electricity consumption forecasting in buildings. [PDF]

MethodsX
Ramos D, Faria P, Campos P, Vale Z.
europepmc   +1 more source

Foraging models explain human exploration in uncertain tasks. [PDF]

Nat Commun
Zid M, Laurie VJ, Ramírez-Ruiz J, Lavigne-Champagne A, Shourkeshti A, Harrell DC, Herman AB, Ebitz RB.   +7 more
europepmc   +1 more source

Drivers of exploration early in development: Perceptual novelty rather than a quest for information. [PDF]

Dev Psychol
Gao M, Sloutsky V.
europepmc   +1 more source

Real-time black-box optimization for dynamic discrete environments using embedded Ising machines. [PDF]

Nat Commun
Kashimata T, Hamakawa Y, Yamasaki M, Tatsumura K.   +3 more
europepmc   +1 more source