dedemii

awesome-rl-competitions

List of competitions related to Reinforcement Learning

meta-learning-adjusting-priors2

Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018

moca

kddcup-starting-kit

The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.

maml-pytorch

A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.

DeepInterestNetwork

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

mujoco-py

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

baby-steps-of-rl-ja

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

model-based-papers

My reading list for model-based control

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

ModelRL

Model based reinforcement learning experiments

graph_nets

Build Graph Nets in Tensorflow

nn_dynamics

kusanagi

Library for model based RL in robotics

model-based-rl

Exposition of my model-based reinforcement learning research

DeepRL-Agents

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

energy-py

Reinforcement learning for energy systems

Paper_Notes

This will contain my notes for research papers that I read.

me-trpo

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

arXivTimes

repository to research & share the machine learning articles

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.