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TD3

Abstract

Introduction

Installation

conda create -n td3 python=3.9 pip
conda activate td3
conda install swig
pip install "gymnasium[all]"
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
conda install numpy
pip install pyyaml
conda install pandas
conda install matplotlib
pip install psutil
pip install torcheval
pip install chardet

Usage

python main.py --env 'MountainCarContinuous-v0' --max-ep-len 1000 --hidden-sizes 256 256 256 --learning-starts 1000 --device 'cuda' --debug-mode --name 'MountainCarContinuous-v0' --auto-save --info --logger-name 'MountainCarContinuous-v0' --checkpoint-dir 'data/experiments' --batch-size 256

Demo

Experiments

Table with pretrained model stats

Acknowledgement

Future Work

  • Add tensorboard
  • Add docstrings
  • Experiments
  • Include pretrained models
  • Include examples
  • Complete README

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