Mario Aburto's repositories
agency-jekyll-theme
Agency Theme for Jekyll
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
calvin
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
google-research
Google Research
grid-world-rl
Value iteration, policy iteration, and Q-Learning in a grid-world MDP.
gym-minigrid
Minimalistic gridworld package for OpenAI Gym
Lux-Design-S2
Repository for the Lux AI Challenge, season 2
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
meld
MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
mtrl
Multi Task RL Baselines
mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
neural-tangents
Fast and Easy Infinite Neural Networks in Python
nngeometry
NNGeometry is a PyTorch library for computing Fisher Information Matrices and Neural Tangent Kernels
POMDPy
POMDPs in Python.
Reinforcement-Learning-Cheat-Sheet
Reinforcement Learning Cheat Sheet
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
RL-Adventure-2
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
rl-basic-skills
I will implement here whatever I feel is important for me to do research in RL. These includes: graphs, state-of-the-art algorithms, usage of RL libraries, solving ALE, OpenAI tasks (with the most appropiate method), etc.
Soft-Module
Code for "Multi-task Reinforcement Learning with Soft Modularization"