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Mario Aburto's Projects

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

calvin icon calvin

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

grid-world-rl icon grid-world-rl

Value iteration, policy iteration, and Q-Learning in a grid-world MDP.

maml_rl icon maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

meld icon meld

MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957

metaworld icon metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

mtrl icon mtrl

Multi Task RL Baselines

mujoco-py icon mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

ndsgo icon ndsgo

Computer go program using Reinforcement Learning and Supervised Learning.

nngeometry icon nngeometry

NNGeometry is a PyTorch library for computing Fisher Information Matrices and Neural Tangent Kernels

rl-adventure icon rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2 icon 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 icon 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 icon soft-module

Code for "Multi-task Reinforcement Learning with Soft Modularization"

ultralytics icon ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

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