Chandler's repositories

dotfiles_macos

dotfiles for my macbook (https://www.udemy.com/course/dotfiles-from-start-to-finish-ish/learn/lecture/23827868#content)

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guestbook

The place where future contributors are born

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Super_Story

My masterpiece.

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SynthesisingRMs_MARL

Repository containing code of the experiments appearing in the paper "Synthesising Reward Machines for Cooperative Multi-Agent Reinforcement Learning"

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42-workshop

Workshop material for 42 PyCharm Tips and Tricks

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github-slideshow

A robot powered training repository :robot:

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COMP1202-Coursework

Full solution for 2022 COMP1202 coursework

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COMP1202_labs

COMP1202 labs source code

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fb1n15.github.io

Build a Jekyll blog in minutes, without touching the command line.

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deepmind_ai-safety-gridworlds

This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.

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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.

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Gym-Booking-Bot

Booking Badminton Slots (University of Southampton)

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PPO

PPO implementation for OpenAI gym environment based on Unity ML Agents

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dotfiles-local

~anish [local config] • powered by https://git.io/dotbot 🏠

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dotfiles

~anish • powered by https://github.com/anishathalye/dotbot 💾

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dotfiles-2

A set of vim, zsh, git, and tmux configuration files.

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rm-cooperative-marl

Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.

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dotfiles-1

YADR - The best vim,git,zsh plugins and the cleanest vimrc you've ever seen

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Bill-Splitter

Jetbrains Acamedy

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maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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Multi-Agent-Deep-Deterministic-Policy-Gradients

A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm

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github-slideshow-1

A robot powered training repository :robot:

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Sipser_Theory_of_computation_3rd_solutions

Solutions to all questions of the book Introduction to the Theory of Computation, 3rd edition by Michael Sipser

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deeprl_network

multi-agent deep reinforcement learning for networked system control.

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