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Name: Dong-Ki Kim
Type: User
Bio: Research Scientist @ LG AI Research
Blog: https://scholar.google.com/citations?user=Yl_3akYAAAAJ&hl=en
Name: Dong-Ki Kim
Type: User
Bio: Research Scientist @ LG AI Research
Blog: https://scholar.google.com/citations?user=Yl_3akYAAAAJ&hl=en
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
TensorFlow Implementation of Crossmodal Attentive Skill Learner (CASL)
Code for "Fast Context Adaptation via Meta-Learning"
Cracking the Coding Interview 6th Ed. Python Solutions
Highly modularized implementation of popular deep RL algorithms in PyTorch
Dong-Ki Kim's Academic Webpage
Source code for "Influencing Long-Term Behavior in Multiagent Reinforcement Learning" (NeurIPS 2022)
The use of Gumbel-softmax for a single agent reinforcement learning in a simple gridworld
A toolkit for developing and comparing reinforcement learning algorithms.
code for rendering the craft environment in "Modular Multitask Reinforcement Learning with Policy Sketches" (Andreas, Klein, Levine. ICML 2017)
Implementation of wolfpack domain as in Leibo et al., AAMAS-17
Autonomous humanoid that picks up and throws away trash
Deep Reinforcement Learning for Keras.
Code release for Learning with Opponent-Learning Awareness and variations.
Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
Tutorial for multi-agent particle environment
Monte Carlo tree search in JAX
Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)
Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)
Mean Field Multi-Agent Reinforcement Learning
Simple and easily configurable grid world environments for reinforcement learning
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.