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Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments
This data is available for the paper 《Distributed policy evaluation with fractional order dynamics in multi-agent reinforcement learning》
Distributed Bayesian Optimization for Multi-Agent Systems
Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"
This repo is related to Deep Policy search using MPC.
PyTorch implementation of deep reinforcement learning algorithms
Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".
Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication
A MATLAB project on discrete time concencus with varying graph topology in a distributed system
This repo consists Python code for the paper "DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity"..
A course project for Distributed Learning and Optimization Course at University of Tehran, School of Electrical and Computer Engineering
Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems, Automatica, Volume 45, Issue 12, 2009
Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.
Uses model of drone in simulink to drive the system into desired configuration
Distributed Reinforcement Learning for Multi-agent
Repo for the distributed-safe-learning-control for DMPC program
Simulation of a distributed control algorithm to drive a multi-agent system with a single leader (has knowledge about target locations) to the target positions with collision avoidance.
Implementation of 3 Proposed Consensus Based Economic Dispatch Optimization Algorithms
The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where each agent uses centralized critic training but decentralized actor execution, and is capable of learning either cooperative or competitive environments. This is demonstrated on the Unity Tennis Environment.
Distributed Model Predictive Control Toolbox
Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforcement learning.
The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
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.