Raphael Avalos's repositories
attention_tsp_graph_net
Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library
coma_rllib
Implentation of COMA using RLlib.
maac_rllib
RLlib implementation of Iqbal and Sha "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" 2019.
gym-rubikscube
Gym Environment for the Rubik's Cube
CGT-assignment-3-2
VUB CGT assignement 3 - 2nd session
deepRL-doom
Implementation of Learning to Act by Predicting the Future (Alexey Dosovitskiy, Vladlen Koltun)
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
CGT2022-assignment-3
VUB CGT 2022 assignement 3
flow
Computational framework for reinforcement learning in traffic control
gotify-server
A simple server for sending and receiving messages in real-time per WebSocket. (Includes a sleek web-ui)
jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
mva-deep-learning
Homework for DeepLearning class of Vincent Lepetit
PettingZoo
Gym for multi-agent reinforcement learning
probabilistic-graphical-models
Probabilistic Graphical Models
Radicale
A simple CalDAV (calendar) and CardDAV (contact) server.
RODE
Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.
vaia_rl
VAIA RL course and tutorial.