All Projects → AdamStelmaszczyk → Learning2run

AdamStelmaszczyk / Learning2run

Licence: mit
Our NIPS 2017: Learning to Run source code

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Learning2run

Run Skeleton Run
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Stars: ✭ 83 (+45.61%)
Mutual labels:  nips-2017, reinforcement-learning, ppo
Reinforcement Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+5740.35%)
Mutual labels:  artificial-intelligence, reinforcement-learning, ppo
Lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (+538.6%)
Mutual labels:  artificial-intelligence, reinforcement-learning, ppo
Pygame Learning Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Stars: ✭ 828 (+1352.63%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Notes
Resources to learn more about Machine Learning and Artificial Intelligence
Stars: ✭ 766 (+1243.86%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+11822.81%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Rex Gym
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Stars: ✭ 684 (+1100%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Awesome Ai Books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (+1400%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Slm Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Stars: ✭ 904 (+1485.96%)
Mutual labels:  reinforcement-learning, ppo
Doyouevenlearn
Essential Guide to keep up with AI/ML/DL/CV
Stars: ✭ 913 (+1501.75%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Artificialintelligenceengines
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Stars: ✭ 35 (-38.6%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Reinforcement Learning With Tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Stars: ✭ 6,948 (+12089.47%)
Mutual labels:  reinforcement-learning, ppo
Deeprl Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (+1212.28%)
Mutual labels:  reinforcement-learning, ppo
Basic reinforcement learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Stars: ✭ 826 (+1349.12%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Awesome Artificial Intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Stars: ✭ 6,516 (+11331.58%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Ciff
Cornell Instruction Following Framework
Stars: ✭ 23 (-59.65%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Batch Ppo
Efficient Batched Reinforcement Learning in TensorFlow
Stars: ✭ 945 (+1557.89%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Awesome Mlss
List of summer schools in machine learning + related fields across the globe
Stars: ✭ 1,001 (+1656.14%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Deep traffic
MIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Stars: ✭ 47 (-17.54%)
Mutual labels:  artificial-intelligence, reinforcement-learning
Super Mario Bros Ppo Pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Stars: ✭ 649 (+1038.6%)
Mutual labels:  reinforcement-learning, ppo

Our NIPS 2017: Learning to Run source code

Poster (PDF):

Our approach write up: https://medium.com/@stelmaszczykadam/our-nips-2017-learning-to-run-approach-b80a295d3bb5

Other solutions: https://arxiv.org/abs/1804.00361

Main files:

To cite this repository:

@misc{stelmaszczyk2017learning2run,
    author = {Stelmaszczyk, Adam and Jarosik, Piotr},
    title = "{Our NIPS 2017: Learning to Run source code}",
    year = {2017},
    publisher = {GitHub},
    journal = {GitHub repository},
    howpublished = {\url{https://github.com/AdamStelmaszczyk/learning2run}},
}
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].