前回↓ ryosuke-okubo.hatenablog.com 96 PPO（2017） 原文： Proximal Policy Optimization Algorithms Abstract： We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data through intera…

前回↓ ryosuke-okubo.hatenablog.com 91 Ape-X（2018） 原文： Distributed Prioritized Experience Replay Abstract： We propose a distributed architecture for deep reinforcement learning at scale, that enables agents to learn effectively from o…

前回↓ ryosuke-okubo.hatenablog.com 86~100は強化学習について扱う。 参考： https://qiita.com/shionhonda/items/ec05aade07b5bea78081 86 Deep Q-Network（2013） 原文： Playing Atari with Deep Reinforcement Learning Abstract： We present the firs…