Wenhao Li ewanlee

PRICAI 2018 第一日参会记录

今天主要参与了以下两个workshop：

比较重要的points记录如下：

Levine & Koltun (2013). Guided policy search: deep RL with importance sampled policy gradient (unrelated to later discussion of guided policy search)
Schulman, L., Moritz, Jordan, Abbeel (2015). Trust region policy optimization: deep RL with natural policy gradient and adaptive step size
Schulman, Wolski, Dhariwal, Radford, Klimov (2017). Proximal policy optimization algorithms: deep RL with importance sampled policy gradient

Mnih, Badia, Mirza, Graves, Lillicrap, Harley, Silver, Kavukcuoglu (2016). Asynchronous methods for deep reinforcement learning: A3C -- parallel online actor-critic
Schulman, Moritz, L., Jordan, Abbeel (2016). High-dimensional continuous control using generalized advantage estimation: batch-mode actor-critic with blended Monte Carlo and function approximator returns
Gu, Lillicrap, Ghahramani, Turner, L. (2017). Q-Prop: sample-efficient policygradient with an off-policy critic: policy gradient with Q-function control variate

Updated 5/18/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

	const axios = require("axios");
	var CryptoJS = require("crypto-js");

	async function search(query) {
	var appKey = '';
	var key = '';
	var salt = (new Date).getTime();
	var curtime = Math.round(new Date().getTime()/1000);
	var from = 'en';
	var to = 'zh-CHS';