From cf65b0e158bedda26ee8a85b40dde940bbf0a0f1 Mon Sep 17 00:00:00 2001 From: Jeff Wu Date: Mon, 9 Dec 2019 10:12:31 -0800 Subject: [PATCH] updates for FAIR work --- README.md | 26 +++++++++++++++----------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/README.md b/README.md index 653bcb2..0ee7365 100644 --- a/README.md +++ b/README.md @@ -3,20 +3,14 @@ Hanabi is a cooperative card game of incomplete information. Despite relatively [simple rules](https://boardgamegeek.com/article/10670613#10670613), the space of Hanabi strategies is quite interesting. -This project provides a framework for implementing Hanabi strategies in Rust. -It also explores some implementations, based on ideas from -[this paper](https://d0474d97-a-62cb3a1a-s-sites.googlegroups.com/site/rmgpgrwc/research-papers/Hanabi_final.pdf). -In particular, it contains an improved version of their "information strategy", -which achieves state-of-the-art results for games with more than 2 players ([see below](#results)). +This project provides a framework for implementing Hanabi strategies in Rust, and also implements extremely strong strategies. + +The best strategy is based on the "information strategy" from +[this paper](https://d0474d97-a-62cb3a1a-s-sites.googlegroups.com/site/rmgpgrwc/research-papers/Hanabi_final.pdf). See results ([below](#results)). +It held state-of-the-art results (from March 2016) until December 2019, when [researchers at Facebook](https://arxiv.org/abs/1912.02318) surpassed it by extending the idea further with explicit search. Please feel free to contact me about Hanabi strategies, or this framework. -Most similar projects I am aware of: -- https://github.com/rjtobin/HanSim (written for the paper mentioned above) -- https://github.com/Quuxplusone/Hanabi - -This repository has been cited in [this paper](https://arxiv.org/abs/1902.00506) from DeepMind and Google Brain, and is briefly discussed in [this article](https://www.wsj.com/articles/why-the-card-game-hanabi-is-the-next-big-hurdle-for-artificial-intelligence-11553875351) from the Wall Street Journal! - ## Setup Install rust (rustc and cargo), and clone this git repo. @@ -77,3 +71,13 @@ On the first 20000 seeds, we have these scores and win rates (average ± standar | | 90.59 ± 0.21 % | 98.17 ± 0.09 % | 97.76 ± 0.10 % | 96.42 ± 0.13 % | | info | 22.5194 ± 0.0125 | 24.7942 ± 0.0039 | 24.9354 ± 0.0022 | 24.9220 ± 0.0024 | | | 12.58 ± 0.23 % | 84.46 ± 0.26 % | 95.03 ± 0.15 % | 94.01 ± 0.17 % | + +## Other work + +Most similar projects I am aware of: +- https://github.com/rjtobin/HanSim (written for the paper mentioned above which introduces the information strategy) +- https://github.com/Quuxplusone/Hanabi + +Some researchers are trying to solve Hanabi using machine learning techniques: +- [Initial paper](https://arxiv.org/abs/1902.00506) from DeepMind and Google Brain researchers. See [this Wall Street Journal coverage](https://www.wsj.com/articles/why-the-card-game-hanabi-is-the-next-big-hurdle-for-artificial-intelligence-11553875351) +- [This paper](https://arxiv.org/abs/1912.02318) from Facebook, code at https://github.com/facebookresearch/Hanabi_SPARTA which includes their machine-learned agent