Congratulations for the double winner of our hackathon Will Press Lever For Food (WPLFF) team - Sviridov Sergey, Guschin Alexander, Ovcharenko Sergey, Korolev Sergey, Kharchenko Maxim!
SCHOOL PROGRAM
06.02.2017, Monday
17:30 (MSK)
Model-based reinforcement learning for alternating environments
А 24/7 week-long hackathon and a scientific school devoted to the cutting edge research for DEEP REINFORCEMENT LEARNING in Atari games with the goal to exceed human level
Lectures
Leading researchers in the field of Deep RL will share knowledge with participants during talks and question answering sessions
24/7 Hacking
Building on the knowledge gained at the school, competing teams of bright hackers will use their coding skills and work on cracking the problem of learning to play computer games. Solutions are submitted to the OpenAI Gym.
Prizes
Knowledge of latest advances in deep reinforcement learning research and hands on experience with state of the art AI algorithms are invaluable. But we are working to bring in even more.