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Type: User
Company: Cornell
Type: User
Company: Cornell
Reinforcement learning resources curated
Notes for ORIE 6750, Optimal Learning, at Cornell on Bayesian Optimization, Multi-armed Bandits, Active Learning, and Sequential Bayesian Experimental Design
PyTorch implementation of BCQ for "Off-Policy Deep Reinforcement Learning without Exploration"
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Co-training for Policy Learning
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Website for Workshop on Consequential Decisions in Dynamic Environments
Instructions for using the graphite cluster
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
Conservative Q learning in Jax
Code for visualizing the loss landscape of neural nets
OPE Tools based on Empirical Study of Off Policy Policy Estimation paper.
PRML algorithms implemented in Python
Matlab code for machine learning algorithms in book PRML
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Python Implementation of Reinforcement Learning: An Introduction
Collection of reinforcement learning algorithms
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Code for SPIBB-DQN and Soft-SPIBB-DQN
TensorFlow's Visualization Toolkit
A minimal Jekyll Theme to host your resume (CV)
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.