# Reinforcement learning

### Analysis and implementation of multiagent deep reinforcement learning algorithms for natural disaster monitoring with swarms of drones

**Reinforcement**

**Learning**(RL) is

**learning**what to do—how to map situations to actions— so as to maximize a numerical reward signal [11]. RL algorithms offer ways to obtain optimal policies π for ...

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### Generating rescheduling knowledge using reinforcement learning in a cognitive architecture

**reinforcement**

**learning**with artificial cognitive capabilities involving perception and reasoning/

**learning**skills embedded in the Soar cognitive ...

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### Autonomous Driving in Roundabout Maneuvers Using Reinforcement Learning with Q-Learning

**reinforcement**

**learning**and obtain an optimal solution through this methodology, the considered reward function was characterized by being bounded between two limit values in its measurement: ( − , ...

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### Learning robotic manipulation tasks using relational reinforcement learning and human demonstrations

**learning**tasks strongly depend on information given by expert users and often, for a robot, what is learned is hardly reusable on new or similar ...traditional

**Reinforcement**

**Learning**algorithm to ...

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### A temporal difference method for multi-objective reinforcement learning

**reinforcement**

**learning**techniques can be applied when such knowledge is not available, so yielding the field of multiobjective

**reinforcement**

**learning**(MORL) [13] ...in ...

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### Coordinación entre brazo robótico y cámara usando deep reinforcement learning

**Reinforcement**

**Learning**(una combinación de aprendizaje por refuerzo y Deep ...Q-

**learning**ha sido ampliamente utilizado para aprender políticas para jugar videojuegos con una habilidad muy ...

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### Relational reinforcement learning with continuous actions by combining behavioural cloning and locally weighted regression

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### Diffusion Gradient Temporal Difference for Cooperative Reinforcement Learning with Linear Function Approximation

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### Automatic tariff generation for electricity markets using reinforcement learning

**learning**is different from

**reinforcement**

**learning**because the first one requires examples provided by a knowledgeable supervisor while the latter learns from interaction with its ...

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### An artificial economy based on reinforcement learning and agent based modeling

**reinforcement**

**learning**and agent based modeling as building blocks of a computational model for an economy based on ...of

**reinforcement**

**learning**as a computational model for the role of the ...

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### Application of reinforcement learning for the control of a control moment gyroscope

**learning**is a field that concerns the use of algorithms that learn from given data to find patterns, extract information or find the optimal solution to a ...supervised

**learning**, unsupervised ...

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### Modelo Inteligente para la Gestión de Aprendizaje aplicando Case Based Reasoning (CBR) y Reinforcement Learning (RL)

**Reinforcement**

**Learning**(RL)” se justifica por la existencia de un problema de investigación, ya que a pesar del número de investigaciones y diversas propuestas para solucionar el problema de la ...

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### Study and development of reinforcement learning multiagent collaborative algorithms for solving families of problems

**reinforcement**

**learning**allow us to learn the optimal policy that solves a specific problem, that is, the actions performed in each state that allow maximizing the reward obtained by the agent when it ...

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### Reinforcement learning como reacción frente a anomalías en la red

**reinforcement**

**learning**no se entrena la red neuronal con un entorno supervisado y etiquetado, en su lugar, se utilizan recompensas positivas y/o ...

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### Research on reinforcement learning methods: a practical study

**reinforcement**

**learning**, which was initially inspired by observations of behavior in ...past.

**Reinforcement**

**learning**has been supported by psychological research for decades, and I ...

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### Aplicación de algoritmos de reinforcement learning a juegos

**reinforcement**

**learning**que se basan en la optimización de las policies parametrizadas con respecto al rendimiento esperado (recompensa acumulativa a largo plazo) utilizando gradient ...de ...

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### Gradient-based reinforcement learning techniques for underwater robotics behavior learning

**learning**algorithms that, instead of performing explicit generaliza- tion, compare new problem instances with instances seen in training and stored in ...lazy

**learning**since the generalization beyond the ...

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### Optimization of Mobility Parameters using Fuzzy Logic and Reinforcement Learning in Self-Organizing Networks

**Learning**...

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### Co-evolutionary and Reinforcement Learning Techniques Applied to Computer Go players

**learning**processes can be observed some patholo- gies which could impact co-evolution progress. In this dissertation is introduced some techniques to solve pathologies as loss of gradients, ...

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