Pinned Repositories
aml-lab
This repository contains the labs of AML course at Eurecom (Spring 2018). Those labs are done with Hugo Yeche. (Mirror repository of bitbucket)
arch-pkg
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.
deepRL-doom
Implementation of Learning to Act by Predicting the Future (Alexey Dosovitskiy, Vladlen Koltun)
gym-rubikscube
Gym Environment for the Rubik's Cube
maac_rllib
RLlib implementation of Iqbal and Sha "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" 2019.
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.
wbu
rlss-2019
Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
raphaelavalos's Repositories
raphaelavalos/attention_tsp_graph_net
Implementation of Attention Solves Your TSP, Approximately (W. Kool et al.) with the DeepMind's Graph Nets library
raphaelavalos/coma_rllib
Implentation of COMA using RLlib.
raphaelavalos/maac_rllib
RLlib implementation of Iqbal and Sha "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" 2019.
raphaelavalos/gym-rubikscube
Gym Environment for the Rubik's Cube
raphaelavalos/wbu
raphaelavalos/aml-lab
This repository contains the labs of AML course at Eurecom (Spring 2018). Those labs are done with Hugo Yeche. (Mirror repository of bitbucket)
raphaelavalos/arch-pkg
raphaelavalos/arch-repo
raphaelavalos/CGT-assignment-3
raphaelavalos/CGT-assignment-3-2
VUB CGT assignement 3 - 2nd session
raphaelavalos/deepRL-doom
Implementation of Learning to Act by Predicting the Future (Alexey Dosovitskiy, Vladlen Koltun)
raphaelavalos/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.
raphaelavalos/CGT2022-assignment-3
VUB CGT 2022 assignement 3
raphaelavalos/exceptionalRL
raphaelavalos/flow
Computational framework for reinforcement learning in traffic control
raphaelavalos/gotify-server
A simple server for sending and receiving messages in real-time per WebSocket. (Includes a sleek web-ui)
raphaelavalos/jumanji
🕹️ A diverse suite of scalable reinforcement learning environments in JAX
raphaelavalos/learning-dqn
raphaelavalos/mlflow
Open source platform for the machine learning lifecycle
raphaelavalos/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
raphaelavalos/mva-deep-learning
Homework for DeepLearning class of Vincent Lepetit
raphaelavalos/PettingZoo
Gym for multi-agent reinforcement learning
raphaelavalos/popgym
raphaelavalos/probabilistic-graphical-models
Probabilistic Graphical Models
raphaelavalos/Radicale
A simple CalDAV (calendar) and CardDAV (contact) server.
raphaelavalos/reinforcementlearning
raphaelavalos/rl
RL experiments
raphaelavalos/rlpyt
Reinforcement Learning in PyTorch
raphaelavalos/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.
raphaelavalos/vaia_rl
VAIA RL course and tutorial.