Reinforcement Learning - Exercice 3

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Organized by vberger - Current server time: June 23, 2018, 11:58 a.m. UTC


Jan. 29, 2018, 5:37 p.m. UTC


Feb. 4, 2018, 11 p.m. UTC


Competition Ends

Reinforcement Learning - Exercice 3

Brought to you by Reinforcement Learning & Information Theory course

This challenge requires you to solve the mountain car problem. You get a -0.1 reward per time-step, and a 50 reward for reaching the top.

This challenge was generated using chalab.

Reinforcement Learning - Exercice 3: Evaluation

The submission will be evaluated using the get_reward.

Reinforcement Learning - Exercice 3: Rules

Submissions must be submitted before the 2018-01-28 23:00:00+00:00. You may submit 5 submissions every day and 10 in total.


Start: Jan. 29, 2018, 5:37 p.m.

Description: Development phase: create agents and submit them or directly; your reward is computed in the development environment.


Start: Feb. 4, 2018, 11 p.m.

Description: Final phase: submissions from the previous phase are automatically cloned and used to compute the final score. The results will be revealed when the organizers make them available.

Competition Ends


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# Username Score
1 STEPHANE_Multon 992.4500
2 RICHARD_Hugo 988.4500
3 GUILLOT_Antoine2 982.1000