Dark-Souls-PvP-AI

AI for playing (and winning) in dark souls pvp

People who if you like this you should also follow:
https://github.com/eur0pa. Creator of dark souls pvp watchdog. Thanks man!
https://github.com/OrdinaryMagician. Various projects in dark souls 2, and assembly master.
https://www.youtube.com/user/Birdulon. Master reverse engineerer, seriously he found the Dark Souls 2 bullet params a week after it came out.

I tag commits when i have tested that current build, and it peforms to my liking. Anything between tags, or after the most recent tag, can be assumed to be broken or non-functional.

##Setup

• Install Vjoy.
• Create Vjoy controller with the config: x,y,z,rx,ry,20 buttons,1 discrete pov
• Install Cheat Engine
• Download Technojacker's DARKSOULS.CT table
• Cheat Engine and the table are only used to lock the camera's x rotation to 3.141592. If you dont want to use them, figure out how to do that yourself.
• Download the source code and compile with FANN. Add the FANN dlls and the vJoyInterface dll to the exe's folder.
• Train the defense neural network and put the .net file in a folder in the .exe's location called "Neural Nets"
• (If you want the gui) Import the folder for the GUI into eclipse and run that. Or run the included .jar file.
• Run the PvP AI whenever the opponent is ready.

Neural Networks

Defense Network Inputs:
-Player Distance from Enemy
-The angle the enemy is off from directly in front of the player
-The enemy velocity
-The rotation difference between the enemy and the player

Attack Network Inputs:
-TODO. Undecided currently. how do you decide someone is about to attack you? they move up on you head on they roll up spacing in general How do you decide when you should attack? usually tell how they attack by how long it's been since they last attacked and how far away they are enemy stamina, cant read directly. can infer from memory of enemy animations. will they backstab punish me? will the attack poise break them? if not, do a quicker attack. try feeding an array of distance inputs for last x seconds

TODO

resolution at 1440x810

• TOP Priority

  • too prone to trading, imrpove attack neural network
  • spear game too strong
  • cannot truly protect against parrying. Have min range for attack to mitigate it.
  • any attack can be parried. allow ai to parry sometimes.
  • should attack even when enemy attacking, just determine their direciton and attack to their side or behind.
  • impove bs neural network accuracy. try to bs with neural network on and using strafing, train with that
  • CE camera lock script causes crashes.

• HIGH Priority

  • have fully automated version. When in world, put down sign. When enemy detected, enable ai. Put on server, steam.
  • refine behind enemy safe state to be more behind enemy. Cone like?
  • more specifications on neural network output. Defense net should return how exactly to avoid bs, not just detect it. Likewise for attack.
  • use more than 1 attack types, dynamic range for weapon attacks
  • get dynamic weapon range working, teach range. Should not keep moving forward once in weapon attack range.
  • detect when player in backstab or parry, and when enemy in backstab or parry. know not to do stuff when they are.
  • make this strafe in the same direction as the enemy strafe
  • teach poise
  • at closer ranges, perfect block and strafe for bs.

• MEDIUM Priority

  • movement bug. jerky and sometimes off
  • true pathfinding. Read ripped maps
  • Get different base addresses for all possible enemies, allow switching of main target.
  • projectile or lingering hurtboxes.
  • Pointers have to be reread for characters because end address changes when invading
  • Must lock camera(x and y pos), rotation x set to PI or 0 depending on map.
  • Store all info to be printed in buffer and only print/send to gui on tick end, to save socket writes

• LOW Priority

  • Some cacheing layer. The first time ex:distance is computed in a tick, it is stored in a cache struct, and all subsequent distance calls use the already computed value. Easier then passing it around.
  • ReadPlayer should read memory in chunks, not individual calls to ReadMemory
  • Better Vjoy loading/unloading
  • Have a build flag which determines if the program uses my handwritten neural network or a library's neural network

Using:

http://vjoystick.sourceforge.net/ (VJOY)
http://leenissen.dk/ (FANN)