juliapomdp Goto Github PK
Name: JuliaPOMDP
Type: Organization
Bio: POMDP packages for Julia
Location: Stanford University, University of Colorado Boulder
Name: JuliaPOMDP
Type: Organization
Bio: POMDP packages for Julia
Location: Stanford University, University of Colorado Boulder
An implementation of the AdaOPS (Adaptive Online Packing-based Search), which is an online POMDP Solver used to solve problems defined with the POMDPs.jl generative interface.
Anytime error minimization search for POMDPs, implemented in Julia.
Implementation of the AR-DESPOT POMDP algorithm
The PO-UCT algorithm (aka POMCP) implemented in Julia
Offline POMDP solver computing an upper bound of the value function in a discretized belief space.
POMDPs.jl Simulator that displays a visualization via Blink.jl
Compressed belief-state MDPs in Julia compatible with POMDPs.jl
A continuous gridworld-like MDP for education.
Implementation of the Deep Q-learning algorithm to solve MDPs
[USE ARDESPOT.jl INSTEAD - This package is not maintained] Package implementing DESPOT POMDP solver for POMDPs.jl
Value iteration solver for MDPs
Implementation of a drone surveillance problem with POMDPs.jl
Interface for dynamic decision networks in Julia
Scalable MCTS for team scenarios
Fast informed bound solver for POMDPs.
POMDPs.jl-compatible interface for defining MDPs and POMDPs with finite horizons
Extension to POMDPs.jl for problems with a generative model (eliminates the need for distributions)
Incremental pruning solver for partially observable Markov decision processes
Website
Various tools for maintaining the repositories owned by JuliaPOMDP
Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework
An extension of POMDPs.jl for Mixed Observability MDPs
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.