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Name: Younggyo Seo
Type: User
Bio: Research Scientist @ Dyson Robot Learning Lab
Blog: https://younggyo.me/
Name: Younggyo Seo
Type: User
Bio: Research Scientist @ Dyson Robot Learning Lab
Blog: https://younggyo.me/
PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
Coarse-to-fine Q-Network
Implementation of DQN for LaserTag-v0
Dream to Control: Learning Behaviors by Latent Imagination
Mastering Atari with Discrete World Models
A toolkit for developing and comparing reinforcement learning algorithms.
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
PyTorch Implementation of InfoGAN
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
My Solutions to exercises and programming projects to K.N.King's C programming.
Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)
Masked World Models for Visual Control
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch implementation of Sample Efficient Actor-Critic with Experience Replay(ACER)
Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)
RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.
TensorFlow Models for NLP
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)
Variational Autoencoders for Collaborative Filtering - Implementation in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.