BotHack

Permalink to GitHub: https://github.com/krajj7/BotHack/blob/70226b3c8ed12d29c6406....

The first known full-auto bot ascension happened back in 2015. https://www.reddit.com/r/nethack/comments/2tluxv/yaap_fullau... Previously discussed: https://news.ycombinator.com/item?id=8990869 The code: https://github.com/krajj7/BotHack It was very carefully written in Clojure, and the result is some beautiful and fairly self explanatory code. The bit that ties everything together to define the way the bot behaves: https://github.com/krajj7/BotHack/blob/master/src/bothack/bo...

I wasn't able to find out about that, from a quick scout around - could you share a link to it? (I did find BotHack[1] and a video of its' first ascension[2], both of which are cool) [1] - https://github.com/krajj7/BotHack [2] - https://www.youtube.com/watch?v=unCQHAbGsAA

not as consistent as the best humans yet, but they have won https://github.com/krajj7/BotHack

There was a bot playing NetHack in 2015 https://github.com/krajj7/BotHack Assume it was playing 3.4.3. It was using pudding farming to get legitimate wins, which is glitchy. I’m way too old to know this stuff. But I played roguelikes in their day on a UNIX PC, so maybe it’s OK.

I found the source code to be absolutely fascinating, beautifully written, easy to parse and understand why and how various actions will happen. Here's an example method: https://github.com/krajj7/BotHack/blob/master/src/bothack/be... (defn- read-book [game] {:pre [(have game book #{:noncursed})]} (if-not (invocation-complete? game) (if-let [[slot _] (have game "Book of the Dead")] (with-reason "reading the book" (->Read slot)))))

Yes! https://github.com/krajj7/BotHack https://www.reddit.com/r/nethack/comments/2tluxv/yaap_fullau... Edit: I remember looking at BotHack at the time and being surprised at how extensively and elaborately hard-coded the strategy and evaluations were. This is definitely not machine learning! Edit 2: HN discussion at the time: https://news.ycombinator.com/item?id=8990869

That's a shame. For a human, each game played helps to make the person better at all games. Play enough adventure games, for example, and one begins to recognize so many of the patterns and tropes at work that the solutions to puzzles jump out obviously and immediately in a single play-through. Moreover, we already have machines that are extremely proficient at solving very complex games when given enough context: expert systems. One very notable example is the bot which successfully completed the game NetHack [0]. Would DeepMind's novelty-based reward technique work for NetHack? [0] https://github.com/krajj7/BotHack

Since I'm not a Go player but am a NetHack player, I got more personal appreciation out of BotHack's achievement from last year than from AlphaGo's victory. That was also something that I hadn't expected to see for years to come; you can see from the bot comparison page https://taeb.github.io/bots.html that no other bot had really come anywhere close to ascending before BotHack pulled it off. It's interesting to see that the winning approach was GOFAI https://en.wikipedia.org/wiki/Symbolic_artificial_intelligen... -- that is, the author taught the bot human-level rules and concepts based on human knowledge about the game. It wasn't a deep learning or neural net system; there is specific code about what altars do, how to fight mind flayers, or whatever. For instance, here's a hard-coded list of corpses to avoid eating. https://github.com/k

Video of the winning game: https://www.youtube.com/watch?v=unCQHAbGsAA The author's list of milestones illustrates the key components of this achievement, as well as some limitations: https://github.com/krajj7/BotHack#milestones-reached Awesome work, Jan Krajicek!

Folks, do yourself a favor, and check out the bot's source: https://github.com/krajj7/BotHack/blob/master/src/bothack/bo... It's really, really neat. Even to those of us who know little or nothing about the game, from the nested Englishy descriptors piled up into short conditions for things-the-bot-might-want-to-do, the basic strategies can be discerned...