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Name: semi-ergodic
Type: User
Name: semi-ergodic
Type: User
A library of reinforcement learning components and agents
[playground codes] This is a prototype MD (a one filer!!) code with anisotropic particle interactions
A small tutorial on how to calculate the Jacobian of the outputs wrt inputs
Solving the inverted pendulum problem with deep-RL actor-critic (with shared network between the value-evaluation and the policy, epsilon-greedy policy). Some implementation issues concerning the stability are discussed.
Solving the inverted pendulum problem with deep-RL double DQN. Some implementation issues and tests are discussed.
A multi-agent RL where the agents learn "what" to communicate with each other.
A city with its citizens and their social life are simulated where a contagious disease is spreading. The results are used to feed a neural network for predicting the probability of catching the disease for each individual
Using the predictions of the agent-based simulation code epydemy, we train a deep neural-network to help identifying the individual susceptibile to catching the virus (the high-risk group). This deep neural-network enables us to find the quarantine-policy most effectively.
a furnace environment compatible with Gymnasium
Code accompanying my blog post: So, what is a physics-informed neural network?
A code for magnetic Lorentz gas with obstacles which are made of polygon.
addressing multi-objective optimization as a single objective optimization with RL
An environment (in openAI gym sense of the word) with multiple agents as a test bed for MA-RL algorithms
web scraping www.allrecipes.com and returning info in form of Python dictionaries
A reinforcement learning project for crowd-dynamics in a very narrow corridor
A collection of python design pattern exercises
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
The secretary problem is a problem that demonstrates a scenario involving optimal stopping theory.
A minimal example demonstrating how to use RLlib with states which are presented as dictionaries
An environment compatible with open-AI gym for the secretary problem
Reinforcement learning, Policy Gradient, Actor-Critic, AC, Agent-based Simulation, Simple-world
Reinforcement learning, Policy Gradient, REINFORCE, Agent-based Simulation, Simple-world
a simple maze with an uneven surface
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.