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OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

active 2023-08-152023-09-07 (UTC)

Complete coverage26,512 / 26,512 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
76
Pushes
1
Pull requests
3
Issues
9
Stars
21
Forks
9

Activity over time

Daily event counts in the loaded window

Line chart, 24 days from 2023-08-15 to 2023-09-07. Pushes: 1 total, peak 1 in a day. Pull requests: 3 total, peak 1 in a day. Issues: 9 total, peak 3 in a day. Comments: 30 total, peak 8 in a day. Stars: 21 total, peak 2 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
lanctot231116
JimZhouZZY6012
Root9701035004
perolat2001
Jazeem2002
andreipauliuc-ads2001
raphCode1001
elkhrt1001
asaf921010
rpSebastian1000
google-cla[bot]1001
VitamintK1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1107Jazeem2023-09-07 09:39
    Adding algorithm TD Learning with N-Tuple Networks for 2048
  • Issue#1116perolat2023-09-05 18:04
    Multiple policy heads in RNaD
  • Issue comment#1116perolat2023-09-05 13:10
    Multiple policy heads in RNaD
  • Issue comment#1107lanctot2023-09-05 12:53
    Adding algorithm TD Learning with N-Tuple Networks for 2048
  • Issue comment#1116lanctot2023-09-05 12:52
    Multiple policy heads in RNaD
  • Issue comment#1116andreipauliuc-ads2023-09-05 11:11
    Multiple policy heads in RNaD
  • Issue comment#1116lanctot2023-09-05 09:42
    Multiple policy heads in RNaD
  • Issue#1116andreipauliuc-ads2023-09-05 07:35
    Multiple policy heads in RNaD
  • Pull request#1115asaf922023-09-02 08:40
  • Issue comment#1114Root9701032023-09-01 07:13
    Some questions about population-based algorithms
  • Issue comment#1107Jazeem2023-09-01 06:46
    Adding algorithm TD Learning with N-Tuple Networks for 2048
  • Issue comment#1114lanctot2023-08-31 14:23
    Some questions about population-based algorithms
  • Issue comment#1076lanctot2023-08-31 14:18
    RNaD Entropy Schedule
  • Issue comment#1114Root9701032023-08-30 07:39
    Some questions about population-based algorithms
  • Issue#1114Root9701032023-08-30 07:32
    Some questions about population-based algorithms
  • Issue comment#1068elkhrt2023-08-29 14:55
    python: state.observation_tensor() creates a new state...
  • Issue comment#1008VitamintK2023-08-29 14:23
    pytorch NFSP doesn't match tensorflow NFSP
  • Issue comment#1008lanctot2023-08-29 10:38
    pytorch NFSP doesn't match tensorflow NFSP
  • Issue comment#1008Root9701032023-08-29 10:25
    pytorch NFSP doesn't match tensorflow NFSP
  • Issue comment#1008lanctot2023-08-29 09:37
    pytorch NFSP doesn't match tensorflow NFSP
  • Issue comment#1008Root9701032023-08-29 09:31
    pytorch NFSP doesn't match tensorflow NFSP
  • Issue comment#1111lanctot2023-08-28 17:21
    Is the comment example in RNaD EntropySchedule wrong?
  • Issue#1111lanctot2023-08-28 17:21
    Is the comment example in RNaD EntropySchedule wrong?
  • Pull request#1105lanctot2023-08-28 17:10
  • Issue comment#1112lanctot2023-08-28 10:52
    Correct comment in issue #1111

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 21 stars here means stars gained during the window, not the repo's star count.