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Dec 19, 2017   |   Itai Caspi, Gal Leibovich

Reinforcement Learning Coach v0.9

Since the release of Coach a couple of months ago, we have been working hard to push it into new frontiers that will improve its usability for real world applications. In this release, we are introducing several new features that will move Coach forward in this direction. Imitation Learning First, we added several convenient tools…

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#Reinforcement Learning #RL Coach

Oct 20, 2017   |   Itai Caspi, Gal Leibovich, Gal Novik

Reinforcement Learning Coach by Intel

Today, Intel is announcing the release of our Reinforcement Learning Coach — an open source research framework for training and evaluating reinforcement learning (RL) agents by harnessing the power of multi-core CPU processing to achieve state-of-the-art results. Coach contains multi-threaded implementations for some of today’s leading RL algorithms, combined with various games and robotics environments.…

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#Reinforcement Learning #RL Coach

Apr 27, 2016   |   JD Co-Reyes

Blog Post (Part III): Deep Reinforcement Learning with OpenAI Gym

This is part 3 of a blog series on deep reinforcement learning. See “Part 1: Demystifying Deep Reinforcement Learning” for an introduction to the topic and “Part 2: Deep Reinforcement Learning with Neon” for the original implementation in Simple-DQN. In this blog post we will extend a Simple-DQN to work with OpenAI Gym, a new…

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#neon #Reinforcement Learning

pre trained deep learning models

Dec 29, 2015   |   Tambet Matiisen

Guest Post (Part II): Deep Reinforcement Learning with Neon

This is part 2 of a blog series on deep reinforcement learning. See part 1 “Demystifying Deep Reinforcement Learning” for an introduction to the topic. The first time we read DeepMind’s paper “Playing Atari with Deep Reinforcement Learning” in our research group, we immediately knew that we wanted to replicate this incredible result. It was…

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#neon #Reinforcement Learning

Dec 22, 2015   |   Tambet Matiisen

Guest Post (Part I): Demystifying Deep Reinforcement Learning

Two years ago, a small company in London called DeepMind uploaded their pioneering paper “Playing Atari with Deep Reinforcement Learning” to Arxiv. In this paper they demonstrated how a computer learned to play Atari 2600 video games by observing just the screen pixels and receiving a reward when the game score increased. The result was remarkable,…

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#neon #Reinforcement Learning

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