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leonardotonelli/Atari

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Ongoing project. Replication of the DQN architecture and training from scratch (using PyTorch, Gymnasium and Numpy) of the breakthough paper "Playing Atari with Deep Reinforcement Learning" of Mnih et al.

active 2024-11-10 → 2025-03-24 (UTC)

Complete coverage28,336 / 28,336 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-07 (UTC)
Events
44
Pushes
37
Pull requests
0
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 135 days from 2024-11-10 to 2025-03-24. Pushes: 37 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
leonardotonelli343400
federicoscaffidi3300

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.