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ais

This repository contains the code for RL for POMDPs through learning an Approximate Information State.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bibeatecg

candice-yourpersonalchatbot

Your personal ChatBot

cartpole

Sarsa(λ) and Q-learning on the interrupted and uninterrupted cart-pole

clustering-analysis

Contains different clustering analysis for healthcare and security datasets

comp652-ecse608_project

Contains the code for COMP652/ECSE 608 final project

contextual-bandit

working example of a contextual multi-armed bandit

contextualbandits

Python implementations of contextual bandits algorithms

contextualbandits-1

control-of-cartpole

Contains codes for PID and LQR to control the problem of Balancing a cartpole

cop-kmeans

A Python implementation of COP-KMEANS algorithm

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deployment-deep-learning-model

discrete_mean_field_game

Experiments on a discrete mean field game model of population dynamics with reinforcement learning

dynaq

DynaQ experiments with blocking maze and shortcut maze in pycolab

ee-net-iclr-2022

extended_kalman_filtering

Contains the implementation of Extended Kalman Filtering

fictitious_play

i-state-gpomdp

Implementation of I State GPOMDP Algorithm

image_classification

Contains the codes for Comp 551 project

keras-tcn

Keras Temporal Convolutional Network.

language_classification

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

multi-armed-bandits

In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandits) and Kernel UCB. Some of the well cited papers in this context are also implemented.

neuralucb

online-cv

A minimal Jekyll Theme to host your resume (CV)

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

optimisation-and-machine-learning

particle-filter

C++ Implementation of particle filter