humancompatibleai Goto Github PK
Name: Center for Human-Compatible AI
Type: Organization
Bio: CHAI seeks to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.
Name: Center for Human-Compatible AI
Type: Organization
Bio: CHAI seeks to develop the conceptual and technical wherewithal to reorient the general thrust of AI research towards provably beneficial systems.
Find best-response to a fixed policy in multi-agent RL
Supporting code for Assistance Games as a Framework paper
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Training in bursts for defending against adversarial policies
Integration of AutoWare AV software with the CARLA simulator
Training framework for conditional imitation learning
LaTeX Notes from the Fall 2018 version of CS294-149: AGI Safety and Control
Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
Supporting code for diagnostic seals paper
OpenAI Gym wrapper for the DeepMind Control Suite
An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
Library to compare and evaluate reward functions
A toolkit for developing and comparing reinforcement learning algorithms.
Code for "On the Utility of Learning about Humans for Human-AI Coordination"
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Clean PyTorch implementations of imitation and reward learning algorithms
Experiments in applying interpretability techniques to learned reward functions.
Docker files to help reproduce bug described in https://forums.developer.nvidia.com/t/kernel-oops-null-pointer-dereference-when-closing-cuda-application-katago/211270/3
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.
Code for "Evidence of Learned Look-Ahead in a Chess-Playing Neural Network"
Use active learning to classify data represented as boundaries of regions in parameter space where a parametrised logical formula holds.
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
MineRL Competition for Sample Efficient Reinforcement Learning - Python Package
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.