LukasSchaefer

ASNets_FastDownward

ASNet implementation in FastDownward using Keras & Tensorflow

jax_playground

Playing around with JAX as acceleration framework

linux_dotfiles

Dotfiles for Ubuntu with i3, polybar, vim, urxvt, rofi, zsh and more

MSc_Curiosity_MARL

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

RL2020_Building-a-Complete-RL-System_Demonstration

Demonstration code for the "Building a Complete RL System" lecture of the Reinforcement Learning course at the University of Edinburgh

Building-a-Complete-RL-System_Demonstration

"Building a Complete RL System" demonstration code to go with University of Edinburgh RL lecture

derl

The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

MATE

Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning

LukasSchaefer/MSc_Curiosity_MARL

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

LukasSchaefer/RL2020_Building-a-Complete-RL-System_Demonstration

Demonstration code for the "Building a Complete RL System" lecture of the Reinforcement Learning course at the University of Edinburgh

LukasSchaefer/multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

LukasSchaefer/ASNets_FastDownward

ASNet implementation in FastDownward using Keras & Tensorflow

LukasSchaefer/jax_playground

Playing around with JAX as acceleration framework

LukasSchaefer/linux_dotfiles

Dotfiles for Ubuntu with i3, polybar, vim, urxvt, rofi, zsh and more

LukasSchaefer/robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

LukasSchaefer/SML_Interpreter

partial interpreter of functional programming language SML, written in SML

LukasSchaefer/hugo_website

Personal webpage with Hugo

LukasSchaefer/toha

A Hugo theme for personal portfolio

LukasSchaefer/boulderpush

LukasSchaefer/c-seam-carving

C Seam-Carving project for Programming 2 lecture at Saarland University

LukasSchaefer/c_star_project

C project for star maps for the Programming 2 lecture at Saarland University Edit Add topics

LukasSchaefer/ConnectFour

Implementing Connect Four in Java with JavaFX

LukasSchaefer/CSKey

The perfect keyboard layout for all computer scientists.

LukasSchaefer/CV

My personal CV(s)

LukasSchaefer/derl

The official repository of "Decoupling Exploration and Exploitation in Reinforcement Learning" (URL Workshop ICML 2021)

LukasSchaefer/dotfiles

dotfiles for MacOS setup

LukasSchaefer/fish

fish setup

LukasSchaefer/lb-foraging

A multi-agent environment for RL

LukasSchaefer/meltingpot

A suite of test scenarios for multi-agent reinforcement learning.

LukasSchaefer/mips_project

mips-project of programming 2 lecture at Saarland University

LukasSchaefer/PettingZoo

Gym for multi-agent reinforcement learning

LukasSchaefer/VectorizedMultiAgentSimulator

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.