reinforcement learning
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sysplan.nams.kyushu-u.ac.jp
ir5.hatenablog.com54ブックマーク[1712.01815] Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning AlgorithmThe game of chess is the most widely-studied domain in the history of artificial intelligence. The strongest programs are based on a combination of sophisticated search techniques, domain-specific adaptations, and handcrafted evaluation functions that have been refined by human experts over sever...
arxiv.org
arxiv.org50ブックマークBullet Real-Time Physics Simulation | Home of Bullet and PyBullet: physics simulation for games, visual effects, robotics and reinforcement learning.Kubric is an open-source Python framework that interfaces with PyBullet and Blender to generate photo-realistic scenes, with rich annotations, and seamlessly scales to large jobs distributed over thousands of machines, and generating TBs of data. Kubric can generate semi-realistic synthetic multi...
bulletphysics.org
bulletphysics.org
karpathy.github.io
qiita.com37ブックマークLearning Reinforcement LearningGithub Repo with code and exercises Why Study Reinforcement Learning #Reinforcement Learning is one of the fields I’m most excited about. Over the past few years amazing results like learning to play Atari Games from raw pixels and Mastering the Game of Go have gotten a lot of attention, but RL i...
dennybritz.com
dennybritz.com29ブックマークLessons Learned Reproducing a Deep Reinforcement Learning PaperThere are a lot of neat things going on in deep reinforcement learning. One of the coolest things from last year was OpenAI and DeepMind’s work on training an agent using feedback from a human rather than a classical reward signal. There’s a great blog post about it at Learning from Human Prefere...
amid.fish
amid.fish
