CSE 571 Artificial Intelligence
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Updated
Jan 3, 2018 - Python
CSE 571 Artificial Intelligence
Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay
RL algorithms for pygame version of Flappy Bird
Python implementation of UCB, EXP3 and Epsilon greedy algorithms
Machine Learning based Load Balancing with RYU OpenFlow Controller
Il bandito bracciuto: Introduzione leggera ma non troppo all'apprendimento con rinforzo.
FTRL Approach to Financial Portfolio Risk Management
This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient
Public repository for a paper in UAI 2019 describing adaptive epsilon-greedy exploration using Bayesian ensembles for deep reinforcement learning.
This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.
Implementation reinforcement learning algorithms
Offline evaluation of multi-armed bandit algorithms
Using DeepQ + Epsilon Greedy to create model for Open Ai GYm's Lunar Lander V2
Repository Containing Comparison of two methods for dealing with Exploration-Exploitation dilemma for MultiArmed Bandits
Pac-Man RL Agent
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
TicTacToe Undertale style in terminal with ai (greedy epsilon algorithm).
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