In 2014, DeepMind's DQN mastered Atari games and transformed reinforcement learning

A decade ago, DeepMind achieved a major AI breakthrough, enabling systems to learn retro video games like Space Invaders ...
IEEE

UAV Communication Against Intelligent Jamming: A Stackelberg Game Approach With Federated Reinforcement Learning

Abstract: This paper proposes a novel anti-intelligent jamming framework for unmanned aerial vehicle (UAV) networks. Multiple UAV-to-UAV communication pairs aim to maximize their sum rates with ...
IEEE

Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network

Abstract: The deep Q-network (DQN) and return-based reinforcement learning are two promising algorithms proposed in recent years. The DQN brings advances to complex sequential decision problems, while ...
GitHub

RL Dresden Algorithm Suite

This suite implements several model-free off-policy deep reinforcement learning algorithms for discrete and continuous action spaces in PyTorch. DQN Single Discrete Mnih et. al. 2015 Double DQN Single ...
AZoOptics

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
GitHub

Benchmarking Deep RL Algorithms with Potential-Based Reward Shaping

Code for the project "Benchmarking Deep Reinforcement Learning Algorithms with Potential-Based Reward Shaping on LunarLander". This version directly addresses the proposal feedback by increasing the ...