underanalyzer

9 ms·

1. 91.▲
   The Limits and Lies of Incentive Alignment(lord.io)

   1 points by underanalyzer 6y ago|0 comments
2. 92.▲
   Optimizing an Open Source Texture Synthesis Library(peterstefek.me)

   29 points by underanalyzer 6y ago|1 comments
3. 93.▲
   Traitors.io – Hunt your enemies through dense crowds(traitors.io)

   2 points by underanalyzer 6y ago|0 comments
4. 94.▲
   by underanalyzer 6y ago

   Afaik the 1/e solution is only optimal when you don't know anything about the distribution being draw from (but also why it's amazing). Since the author knows the probability distribution the prices are being draw from you ca
5. 95.▲
   Show HN: Traitors an Online Stealth Game(traitors.io)

   1 points by underanalyzer 6y ago|0 comments
6. 96.▲
   Ask HN: What is the tech scene like in Baltimore?

   1 points by underanalyzer 7y ago|0 comments
7. 97.▲
   by underanalyzer 7y ago

   Very cool idea! One question I couldn’t seem to find the answer to on your site was are the policies featured on your a/b training exercise distinct from the polices that the ai grades? For example will a user going through your a&#x2F
8. 98.▲
   Show HN: A simple multiplayer stealth game(traitors.io)

   1 points by underanalyzer 7y ago|1 comments