Nov 2019
18 Mon
19 Tue
20 Wed
21 Thu
22 Fri
23 Sat 08:30 AM – 05:30 PM IST
24 Sun
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Accepting submissions till 01 Nov 2019, 04:20 PM
##About the 2019 edition:
The schedule for the 2019 edition is published here: https://hasgeek.com/anthillinside/2019/schedule
The conference has three tracks:
#Who should attend Anthill Inside:
Anthill Inside is a platform for:
For inquiries about tickets and sponsorships, call Anthill Inside on 7676332020 or write to sales@hasgeek.com
#Sponsors:
Sponsorship slots for Anthill Inside 2019 are open. Click here to view the sponsorship deck.
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Hosted by
Uma Sawant
@umasawant
Submitted Aug 15, 2019
##Details (date, time, venue) and tickets for this workshop are available here: https://hasgeek.com/anthillinside/deep-reinforcement-learning-workshop/
Deep reinforcement learning combines reinforcement learning algorithms with deep learning paradigm. This hands-on workshop aims to familiarize the attendees with deep RL by working through notebook examples. Apart from the core concepts, we will also discuss recent advances, and practical implementations of deep RL.
30 min
Introduction to reinforcement learning
45 min
Deep reinforcement learning along with notebook examples: learning to play mario/alphago/a-game via Deep Q learning
45 min
deep reinforcement learning along with notebook examples: learning to play the same game via proximal policy gradient
1 hour
recent advances in deep reinforcement learning
1 hour
When and how to apply deep reinforcement learning in your work
Participants should bring their own laptops with pytorch + python 3.5.
Hosted by
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