Repository for MDPGT

Last update: Dec 30, 2021

Related tags

Deep Learning MD-PGT

Overview

MD-PGT

Repository for implementing and reproducing the results for the paper MDPGT: Momentum-based Decentralized Policy Gradient Tracking.

Available Environments

Lineworld
Particle-world (installation instructions available at https://github.com/xylee95/MDPGT_particleworld)

Available Agents

DPG: Decentralized Policy Gradients
MDPG : Momentum Decentralized Policy Gradients
MDPGT : Momentum-based Decentralized Policy Gradient Tracking

Main files used are:

train_lineworld_dpg.py
train_lineworld_mdpg.py
train_lineworld_mdpgt.py
train_particleworld_dpg.py
train_particleworld_mdpg.py
train_particleworld_mdpgt.py
model.py : code for policy network and related functions
update_functions.py : all functions related to update rules and consensus for MDPG and MDPGT

Both MDPG and MDPGT has the option of using Minibatch Initialization to compute batch gradient surrogate.

Reproducing the results:

To reproduce the results shown in the paper, please check run_exp.sh for the relevant python commands.

Owner

Xian Yeow Lee

Graduate student at Iowa State University

Xian Yeow Lee

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