GitHub

Reinforcement Learning in Python

Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...
Frontiers

Fitting reinforcement learning model to behavioral data under bandits

We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...
GitHub

SCOPE-RL: A Python library for offline reinforcement learning, off-policy evaluation, and selection

SCOPE-RL is an open-source Python Software for implementing the end-to-end procedure regarding offline Reinforcement Learning (offline RL), from data collection to offline policy learning, off-policy ...
Scientific Research Publishing

Multi-Agent Strategic Confrontation Game via Alternating Markov Decision Process Based Double Deep Q-Learning ()

To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating Markov ...
Analytics Insight

Top Books on Machine Learning and AI

As machine learning ML and artificial intelligence (AI) continue to transform industries and shape the future of technology gaining a solid understanding of these fields has become more important than ...
IEEE

Quantum Entropy and Reinforcement Learning for Distributed Denial of Service Attack Detection in Smart Grid

Abstract: Distributed Denial of Service (DDoS) threats in Smart Grid are very challenging and considered one of the most destructive cyber-attacks. They are harmfully affecting the power sector and ...