Found 248 repositories(showing 30)
opalkale
Implementing expectimax, alpha-beta pruning, and minimax algorithms in a game of Pacman
rmodi6
Solutions to Pacman AI Multi-Agent Search problems
Jornason
This is the second project of the Spring 2014 CS 188 (Introduction to Artificial Intelligence) class at UC Berkeley. It implements a pacman who can play against adversarial agents with dynamic tree look up (both Minimax and Expectimax). it optimizes tree lookup with AlphaBetaPruning and finally contains a master strategy in the form of the betterEvaluationFunction (in multiAgents.py) for evaluating each state in the tree.
georgemouse
pacman-multiagent
wguilen
Pacman's implementation as a Multiagent System
kaffonso
AI Pacman Multiagents
leilibrk
The phase 2 of my AI project, which is adversarial search in Pacman game for reaching the best utility and avoiding ghosts. Minimax with alpha-beta pruning and Expectimax is implemented.
hanglearning
Demo Video
MinaTahaei
IUST AI Project Phase 2- Multiagent Pacman
befunger
A multiagent implementation for the Berkeley Pacman CTF (Competetive two-team Pacman)
anishoswal
Implementation of multi-agent search in the PACMAN domain in accordance to CSE 188 UC Berkeley
shrusti-ghela
No description available
hanschristian2710
Pacman AI Alpha beta
ujjwalchadha8
files from Artificial Intelligence algorithms class from UC Berkeley spring 2013 using python - multi agents solution search applied to a pacman game
nishagandhi
In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.
sayantan1995
Solutions to the second AI Pacman assignment from UC Berkeley CS188.
apsusanto
No description available
AnneshaChowdhury
Multiagent Classification-Pacman (Artificial Intelligence)
divyav17
Designd agents for the classic version of Pacman, including ghosts. Implement both minimax and expectimax search.
ourlifeinkodaks
pacman with a ghost agent
kc127
No description available
langokalla
No description available
asalmohammadjafari
Pac-Man AI solutions using adversarial and multi-agent search
andreivlad17
No description available
ch1pmunks
No description available
ewcampbell
Source files and dev artifacts from a competitive multi-agent Pac-Man AI project built for a Artificial Intelligence capstone tournament. Approximate Q-learning, A*, OCI-trained.
riponalmamun
No description available
ryanhan1201
No description available
zand-amir
No description available
torbenwb
Implementation of multiagent search algorithms for ai pacman project.