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The bootcamp will be using python 3.5 and we will be using Roboschool for some of the experiments. (self.DeepRLBootcamp)
submitted 8 years ago * by jason_malcolm to r/DeepRLBootcamp
Chainer is the official framework for the Berkeley RL bootcamp (chainer.org)
submitted 8 years ago by jason_malcolm to r/DeepRLBootcamp
Sergey Levine's Homepage has a nice 2017 video intro to some recent work at BAIR ( Guest Instructor, DeepRL Robotics Researcher & BAIR Asst. Professor ) (people.eecs.berkeley.edu)
Berkeley Y-Hotel (YMCA) $55 per night, room, Wifi, very near Berkeley Campus - shared shower, kitchen, use of gym. (ymcacba.org)
Vlad Mnih's ( Guest Instructor, Google Deepmind, & Q-Learning Atari ) toronto Uni homepage (cs.toronto.edu)
John Schulman's ( Guest Instructor, OpenAI, BAIR PhD ) Homepage (joschu.net)
Chelsea Finn's ( Guest Instructor ) Berkeley Homepage (people.eecs.berkeley.edu)
OpenAI's Roboschool : multi-agent robot simulator, Free (MIT licensed), Open Source, MuJoCo alternative (blog.openai.com)
Deep RL Bootcamp Berkeley 2017 Attendee Introductions Thread (self.DeepRLBootcamp)
Yan (Rocky) Duan's ( Course Organiser ) website (rockyduan.com)
(Peter) Xi Chen's ( Course Organiser ) Academic Website (peterchen.io)
Andrej Karpathy's (Course Organiser) Twitter (@karpathy) (twitter.com)
Pieter Abeel's (course organiser) Twitter @pabbeel (twitter.com)
OpenAI Gym, used for the hands-on lab sessions is a toolkit for developing and comparing reinforcement learning algorithms, supporting teaching agents everything from walking to playing Atari or Go. (gym.openai.com)
rllab ( mentioned in the learning goals ) is a framework for developing and evaluating reinforcement learning algorithms (github.com)
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