A proposal for adaptive cruise control balancing followability and comfortability through reinforcement learning

An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic

This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...

Reinforcement Learning For Adaptive Traffic Signal Control

By 2050, two-thirds of the world’s 9.6 billion people will live in urban areas [2]. In many cities, opportunities to expand urban road networks are limited, so existing roads will need to more efficiently accommodate higher volumes of traffic. Consequently, there is a pressing need for technologically viable, low-cost solutions that can work with existing infrastructure to help alleviate increa...

Balancing Energy Expenditure in WSNs through Reinforcement Learning: A Study

This work describes a study of applying reinforcement learning to balance energy expenditure in wireless sensor networks, contributing both with a protocol and a novel observation regarding exploration in reinforcement learning. Our starting point is FROMS, our own multi-source multi-sink routing protocol which exploits learning to identify the lowest cost paths for data delivery. The primary m...

Modeling the User through Reinforcement Learning: A Pre-Thesis Proposal

A Proposal for Population-Based Reinforcement Learning

We propose novel ways of solving Reinforcement Learning tasks (that is, stochastic optimal control tasks) by hybridising Evolutionary Algorithms with methods based on value functions. We call our approach Population-Based Reinforcement Learning. The key idea, from Evolutionary Computation, is that parallel interacting search processes (in this case Reinforcement Learning or Dynamic Programming ...