KaleabTessera/SARSA_Cliffwalking KaleabTessera/SARSA_Cliffwalking

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created about 5 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
KaleabTessera/SARSA_Cliffwalking
github

KaleabTessera

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Implementation of SARSA for cliffwalking environment.

More Repositories

1

DQN-Atari

Deep Q-Learning (DQN) implementation for Atari pong.
Python
70
star
2

Research-Paper-Reading-Template

A markdown template for taking notes to summarize research papers.
65
star
3

PRM-Path-Planning

Implementation of Probabilistic Roadmap Path Planning Algorithm.
Python
36
star
4

Multi-Armed-Bandit

Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.
Python
9
star
5

ICOOmen_ML_Model

IcoOmen, a machine learning model which will predict the value of an ICO token after 6 months. This uses historic data that has been aggregated from various public websites and APIs (Application programming interfaces), as well as data that has been manually collected and calculated.
Jupyter Notebook
9
star
6

KnapSackProblem

Knapsack Problem implemented in Python. This includes a Linear Greedy and Quadratic Knapsack Implementation.
Jupyter Notebook
7
star
7

ROS-TurtleBot-Obstacle_Detection

An simple implementation of obstacle detection, using Rospy Turtlebot's depth camera and OpenCV.
CMake
7
star
8

NeuralNetwork_From_Scratch

An implementation of a Fully-connected Neural Network build from Scratch - only using Numpy.
Python
4
star
9

TravellingSalesman

A 2-opt algorithm implementation of the Travelling Salesman Problem
Jupyter Notebook
2
star
10

SimulatedAnnealing

Implementation of the Simulated Annealing Algorithm in solving the (Symmetric) Travelling Salesman Problem.
TeX
2
star
11

Gridworld-Markov-Decision-Process

Implementing a gridworld from scratch and configuring it as a Markov decision process.
Jupyter Notebook
2
star
12

DroneFlight-Ros

Ardrone flight using PID.
Common Lisp
1
star
13

PythonForMachineLearning

A collection of information on Python, specifically related to machine learning.
Jupyter Notebook
1
star
14

personal-site-v2

My personal website.
JavaScript
1
star
15

rospy-turtlebot-move-and-rotate

Basic Rospy code to get a turtlebot to move forward and rotate.
Makefile
1
star
16

Obstacle-Tower-RL

Python
1
star
17

K-nearest-neighbour-in-C

KNN in C, comparing performance of serial and parallel implementations (implemented in OpenMp).
C
1
star
18

Turtlebot-Kuri-Navigation

A Turtlebot and Kuri were both given a challenge of navigating an obstacle course.
Python
1
star
19

Image-Convolution-Using-CUDA-C

Image Convolution Using CUDA C
C
1
star
20

Policy-Gradient

Implementation of the following Policy Gradient Algorithms -Reinforce and Actor Critic.
Python
1
star
21

Monte-Carlo-and-Temporal-Difference

Monte Carlo and Temporal Difference implementation from Chapter 5 and Chapter 6 of Reinforcement Learning: An Introduction Book by Andrew Barto and Richard S. Sutton.
Python
1
star
22

IcoOmenAPI

API layer behind IcoOmen.
C#
1
star