Deep learning projects in ADL (2017 FALL) @ NTU. Implement in Tensorflow and Python. Work on Sequence Labeling, Video Caption, Game Playing, and Comics Generation.
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Updated
Mar 5, 2019 - Python
Deep learning projects in ADL (2017 FALL) @ NTU. Implement in Tensorflow and Python. Work on Sequence Labeling, Video Caption, Game Playing, and Comics Generation.
This repo consists of the projects that I completed as a part of the Udacity's Artificial Intelligence Nanodegree's curriculum.
PyBrain Style Implementation of Gaussian Process SARSA Reinforcement Learning Agent. Originally discussed here
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
Mirror of Feike Boomstra's international draughts engine Horizon
Legends of Code and Magic bot submitted to the IEEE CEC 2020's Strategy Card Game AI Competition
Apply AI algorithms to implement an smart game playing agent that can play Isolation game.
An Artificial Intelligence that beats human opponents in the game of Isolation in Python
A bot playing the 2 player 'Chain Reaction' game
Lab: Teaching Pac-Man to Search | Artificial Intelligence Nanodegree | Udacity
A collection of projects solving problems using AI
Implementation of Alpha Go Zero - Reinforcement Learning Project, COL870 @iit-delhi
AI playing Chrome's TRex game.
A 2D game playing Agent
This is the second project for Artificial Intelligence Nanodegree @udacity . This is the game Isolation playing agent.
A curated list of my Artificial Intelligence project.
An attempt to build an agent to solve a modifed version of the 8 puzzle problem
This is the Pacman AI agent implemented as a search problem with DFS, UCS, BFS, A* with different heuristic functions. This project was a part of Artificial Intelligence Nanodegree @udacity.
Course assignments of COL333 :- Artificial Intelligence course at IIT Delhi under Professor Rohan Paul
A game-playing AI agent is developed for a Competitive Sudoku game using minimax algorithm with alpha-beta pruning and iterative deepening. It is further advanced using heuristics and Monte Carlo Tree Search algorithm.
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