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data-efficient-reinforcement-learning-with-probabilistic-model-predictive-control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

data_dpefod

This data is available for the paper 《Distributed policy evaluation with fractional order dynamics in multi-agent reinforcement learning》

dbo

Distributed Bayesian Optimization for Multi-Agent Systems

decentralized-byzantine-rl

Experiments code for AAMAS'24 paper on "Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence"

decpomdp_policy_evaluation_w-belief_sharing

deep-rl-policy-search-for-mpc

This repo is related to Deep Policy search using MPC.

deep-unfolded-d-admm

deep_rl

PyTorch implementation of deep reinforcement learning algorithms

delay-aware-marl

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

dgmarl-mvp

diral

Distributed Resource Allocation with Multi-Agent Deep Reinforcement Learning for 5G-V2V Communication

discrete-time-concencus-with-varying-graph-topology

A MATLAB project on discrete time concencus with varying graph topology in a distributed system

dish

This repo consists Python code for the paper "DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity"..

distributed-control-approach-for-multi-agent-target-enclosing

distributed-cooperative-competitive-multi-agent-reinforcement-learning-in-markov-games

distributed-cooperative-multi-agent-reinforcement-learning-in-markov-games

A course project for Distributed Learning and Optimization Course at University of Tehran, School of Electrical and Computer Engineering

distributed-learning-and-cooperative-control

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-maddpg

Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.

distributed-optimization-for-drones-formation-control

Uses model of drone in simulink to drive the system into desired configuration

distributed-reinforcement-learning-for-multi-agent-

Distributed Reinforcement Learning for Multi-agent

distributed-safe-online-learning-control

Repo for the distributed-safe-learning-control for DMPC program

distributedsgdm

distributed_leader_follower

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.

distributed_smartgrid_algorithms

Implementation of 3 Proposed Consensus Based Economic Dispatch Optimization Algorithms

distributional-multi-agent-actor-critic-reinforcement-learning-maddpg-tennis-environment

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.

dmpc

Distributed Model Predictive Control Toolbox

dmpcrl-concept

Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforcement learning.

dnmpc-platooning

The code for the project Distributed Nonlinear Model Predictive Control (DNMPC) for vehicle platooning

draco

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients

drl_vo_nav

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles