新型冠狀病毒COVID-19在全球傳播使被迫減少外出或被鼓勵留在家中。公司鼓勵或要求員工在家工作(Work From Home; WFH)。如果你是從公司辦公桌移到家中工作的新手，你都需要培養一些在家工作的好習慣。閱讀全文〈疫情時期在家工作的9個秘訣〉
隨著新型冠狀病毒疫情擴散，嚴重影響兩岸三地多家企業返工的時間，甚至也有越來越多人被迫居家隔離，使得遠端工作（remote work）或在家工作（work from home）的員工突然增加。 遠距協同工作，目前有哪些工具可以選擇？目前主流工具根據使用目的，包括企業溝通協作平台(文字訊息、檔案分享等)、視訊會議工具(語音與視訊會議)兩種類別。
|Product||Microsoft Teams||Google G Suite||Slack||Zoom||Cisco WebEx|
|Pricing Tier||Office 365 Business Essentials||Business||Standard||Pro||Starter|
|每人每月價格||USD $5 (TWD $150)*1||USD $12||USD $6.67||USD $14.99||USD $13.5 *1|
|視訊人數||Host online and video conferencing meetings for up to 250 people|| Hangouts Meet Video and voice conferencing (for up to 150 participants per call) |
|Face-to-face communication with group voice and video calls of up to 15 teammates||up to 100 participants per call||Up to 50 participants in each meeting|
|投影螢幕|| || || || |
|視訊會議錄影|| || ||透過其他app|| || |
*1: 一年訂閱的平均每月價錢 (annual subscription price)
|Product||Microsoft Teams (free)||Google Hangouts (free)||Slack (free)||Zoom (Personal)||Cisco WebEx (Personal)|
|視訊會議|| || || || |
|投影螢幕|| || || |
|備註||Google Meet從五月開始已經免費使用||Zoom 2/26宣布，2人以上的免費視訊服務，針對中國地區將移除40分鐘使用上限。||思科則針對所有國家提供免費版WebEx不限時服務，最多支援100人。至於原本非WebEx的企業用戶，也提供90天免費授權。|
針對教育機構的線上教學方案比較閱讀全文〈Microsoft Teams, Google Hangouts, Slack, Zoom, Cisco WebEx比較〉
What’s Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. The problem, due to its generality, is studied in many other disciplines, such as game theory, control theory, operations research, information theory, simulation-based optimization, multi-agent systems, swarm intelligence, statistics and genetic algorithms. In the operations research and control literature, reinforcement learning is called approximate dynamic programming, or neuro-dynamic programming. The problems of interest in reinforcement learning have also been studied in the theory of optimal control, which is concerned mostly with the existence and characterization of optimal solutions, and algorithms for their exact computation, and less with learning or approximation, particularly in the absence of a mathematical model of the environment. In economics and game theory, reinforcement learning may be used to explain how equilibrium may arise under bounded rationality.
In machine learning, the environment is typically formulated as a Markov Decision Process (MDP).
- Using Machine Learning Agents Toolkit in a real game: a beginner’s guide – The initial algorithm we came up with was allowing the agent to earn reward if, when not in a situation of danger, its distance from the target was decreasing. Similarly, when in a situation of danger, it would earn reward if its distance from the target was increasing (the agent was “running away”). Additionally, the algorithm was including a punishment given to the agent in case it was attacking when not allowed to.
- OpenAI Gym – a toolkit for developing and comparing reinforcement learning algorithms.
- Intelligent Machines – A team of AI algorithms just crushed humans in a complex computer game
- Microsoft wants artificial intelligence to catch cheaters on Xbox Live