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PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

active 2024-07-102024-11-12 (UTC)

Complete coverage26,577 / 26,577 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
14
Pushes
5
Pull requests
7
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 126 days from 2024-07-10 to 2024-11-12. Pushes: 5 total, peak 3 in a day. Pull requests: 7 total, peak 6 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
pb4git8530
Agade094040

Recent activity

Latest issues, pull requests and releases

  • Pull request#4Agade092024-07-17 10:43
  • Pull request#3pb4git2024-07-17 10:30
  • Pull request#3Agade092024-07-17 10:03
  • Pull request#2pb4git2024-07-17 09:29
  • Pull request#2Agade092024-07-17 09:28
  • Pull request#1pb4git2024-07-17 08:57
  • Pull request#1Agade092024-07-16 11:18

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.