From 6211400a6d8cb58760517307ef189b371e245bff Mon Sep 17 00:00:00 2001 From: Mahdi Dibaiee Date: Tue, 4 Apr 2017 11:23:44 +0430 Subject: [PATCH] fix: a hundred epochs --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7d2c9ad..3014c33 100644 --- a/README.md +++ b/README.md @@ -42,4 +42,4 @@ My interpretation is that after finding a local maximum for accumulated reward a the updates become pretty large and will pull the model too much to sides, thus the model will enter a state of oscillation. To try it yourself, there is a `long.npy` file, rename it to `load.npy` (backup `load.npy` before doing so) and run `demo.py`, -you will see the bird failing more often than not. `long.py` was trained for 100 more iterations than `load.npy`. +you will see the bird failing more often than not. `long.py` was trained for only 100 more epochs than `load.npy`.