fb1n15

I am a PhD student in Computer Science.

Pinned Repositories

42-workshop
Workshop material for 42 PyCharm Tips and Tricks
Language:Python00
Bill-Splitter
Jetbrains Acamedy
Language:Python00
blog_of_Chandler.github.io
my GitHub blog
Language:HTML00
climate-analysis
Climate analysis tools
Language:Python00
CLRS
:notebook:Solutions to Introduction to Algorithms
Language:C++00
dotfiles_macos
dotfiles for my macbook (https://www.udemy.com/course/dotfiles-from-start-to-finish-ish/learn/lecture/23827868#content)
Language:Python1 2 30
edge-cloud-resource-allocation-using-MARL
Language:Jupyter Notebook80
Gym-Booking-Bot
Booking Badminton Slots (University of Southampton)
Language:HTML20
maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Language:Python10
Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Language:Python2 0 00

fb1n15's Repositories

fb1n15/edge-cloud-resource-allocation-using-MARL
Language:Jupyter Notebook80
fb1n15/Gym-Booking-Bot
Booking Badminton Slots (University of Southampton)
Language:HTML20
fb1n15/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Language:Python2 0 00
fb1n15/dotfiles_macos
dotfiles for my macbook (https://www.udemy.com/course/dotfiles-from-start-to-finish-ish/learn/lecture/23827868#content)
Language:Python1 2 30
fb1n15/maddpg
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Language:Python10
fb1n15/42-workshop
Workshop material for 42 PyCharm Tips and Tricks
Language:Python00
fb1n15/Bill-Splitter
Jetbrains Acamedy
Language:Python00
fb1n15/blog_of_Chandler.github.io
my GitHub blog
Language:HTML00
fb1n15/COMP1202-Coursework
Full solution for 2022 COMP1202 coursework
fb1n15/COMP1202_labs
COMP1202 labs source code
fb1n15/deepmind_ai-safety-gridworlds
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
fb1n15/deeprl_network
multi-agent deep reinforcement learning for networked system control.
fb1n15/dotfiles
~anish • powered by https://github.com/anishathalye/dotbot 💾
fb1n15/dotfiles-1
YADR - The best vim,git,zsh plugins and the cleanest vimrc you've ever seen
Language:Ruby0 0
fb1n15/dotfiles-2
A set of vim, zsh, git, and tmux configuration files.
fb1n15/dotfiles-local
~anish [local config] • powered by https://git.io/dotbot 🏠
fb1n15/Dotfiles-Show-and-Tell
A place for students of the course "Dotfiles from Start to Finish-ish" (and others!) to share their repositories, along with a bit more about themselves.
fb1n15/fb1n15.github.io
Build a Jekyll blog in minutes, without touching the command line.
Language:SCSS
fb1n15/github-slideshow
A robot powered training repository :robot:
Language:HTML
fb1n15/github-slideshow-1
A robot powered training repository :robot:
Language:HTML
fb1n15/guestbook
The place where future contributors are born
fb1n15/Icarte_reward_machines
fb1n15/markdown-portfolio
fb1n15/my_karabiner_configuration
fb1n15/PPO
PPO implementation for OpenAI gym environment based on Unity ML Agents
Language:Python
fb1n15/rm-cooperative-marl
Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.
fb1n15/roam2github-actions
fb1n15/Sipser_Theory_of_computation_3rd_solutions
Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser
fb1n15/Super_Story
My masterpiece.
fb1n15/SynthesisingRMs_MARL
Repository containing code of the experiments appearing in the paper "Synthesising Reward Machines for Cooperative Multi-Agent Reinforcement Learning"