From d14cd7d7c5418d7a23a84a6c1c1d7bd056b57eae Mon Sep 17 00:00:00 2001 From: Lilian Weng Date: Mon, 18 Jun 2018 18:49:44 -0700 Subject: [PATCH] update readme --- .gitignore | 1 + README.md | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/.gitignore b/.gitignore index 2e68266..51c3778 100644 --- a/.gitignore +++ b/.gitignore @@ -7,3 +7,4 @@ logs/* figs/* **/*.pyc **/*.egg-info +*~ diff --git a/README.md b/README.md index b02f20d..9f21f50 100644 --- a/README.md +++ b/README.md @@ -36,8 +36,8 @@ If you are interested in playing with Atari games or other advanced packages in (4) Clone the code repo and install the requirements. ``` -git clone git@github.com:lilianweng/playground-drl.git -cd playground-drl +git clone git@github.com:lilianweng/deep-reinforcement-learning-gym.git +cd deep-reinforcement-learning-gym pip install -e . # install the “playground” project. pip install -r requirements.txt # install required packages. ``` @@ -54,7 +54,7 @@ cd playground python learn.py configs/data/reinforce-cartpole-v1.json ``` -During training, three folders will be created in the root `playground-drl/`: `logs`, `checkpoints` and `figs`. Because the env is wrapped by `gym.wrappers.Monitor`, the gym training log is written into `/tmp/` in the meantime. Feel free to comment that out in `playground.configs.manager.ConfigManager` if you are not a fan of that. +During training, three folders will be created in the root directory: `logs`, `checkpoints` and `figs`. Because the env is wrapped by `gym.wrappers.Monitor`, the gym training log is written into `/tmp/` in the meantime. Feel free to comment that out in `playground.configs.manager.ConfigManager` if you are not a fan of that. Meanwhile, you can start the tensorboard, ```bash