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UID:709@lincs.fr
DTSTART;TZID=Europe/Paris:20220504T110000
DTEND;TZID=Europe/Paris:20220504T120000
DTSTAMP:20221010T100155Z
URL:https://www.lincs.fr/events/introduction-to-gym-and-stable-baselines-f
 or-reinforcement-learning/
SUMMARY:Introduction to Gym and Stable Baselines for reinforcement learning
DESCRIPTION:Gym by OpenAI is an open source interface to reinforcement
 learning (RL) tasks. It comes with a set of standard tasks useful for
 benchmarking RL algorithms (CartPole\, Pendulum\, Walking Humanoid\,
 etc.)\, and an easy\, standardized way to create a learning environment for
 a research problem. Stable Baselines 3 provides a set of reliable\,
 rigorously tested PyTorch implementations of popular Deep RL algorithms to
 facilitate results replication. Together they can be used for fast and easy
 RL benchmarks and prototyping.\n\nIn this workshop we will:\n\n 	Discover
 the python gym library and explore standard RL tasks\,\n 	Use Stable
 Baselines 3 to benchmark RL models in a Gym environment\,\n 	Learn how to
 create a Gym environment for a specific learning task.\n
CATEGORIES:Tools, Tips and Tricks,Working Group,Youtube
LOCATION:Paris-Rennes Room (EIT Digital)\, 23 avenue d'Italie\, 75013
 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=Paris-Rennes Room (EIT
 Digital):geo:0,0
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TZID:Europe/Paris
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DTSTART:20220327T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
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