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Gym:
https://gym.openai.com/
Gym is a toolkit for developing and comparing …. It supports teaching agents everything from walking to playing games like Pong or Pinball.
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"Project Malmo integrates (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. "
https://www.microsoft.com/en-us/research/project/project-malmo/
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DeepMind:
"DeepMind’s scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how"
https://deepmind.com/blog/open-sourcing-deepmind-lab/
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UCL Course on RL
http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
Basics of RL
From: https://www.kdnuggets.com/2018/03/5-things-reinforcement-learning.html
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- What is reinforcement learning? How does it relate with other ML techniques?
Reinforcement Learning(RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences.
- What are some most used Reinforcement Learning algorithms?
Q-learning and SARSA (State-Action-Reward-State-Action) are two commonly used model-free RL algorithms.
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Uses of RL
" building AI for playing computer games"
" robotics and industrial automation "
"applications of RL include text summarization engines, dialog agents (text, speech) which can learn from user interactions and improve with time, learning optimal treatment policies in healthcare and RL based agents for online stock trading."
