From 51884555000d11e4ccf72c5d60eb2481002d8ae0 Mon Sep 17 00:00:00 2001
From: Philip Maas <philip.maas@stud.hs-bochum.de>
Date: Thu, 3 Mar 2022 08:35:57 +0000
Subject: [PATCH] Update README.md
---
README.md | 31 +++++++++++++++----------------
1 file changed, 15 insertions(+), 16 deletions(-)
diff --git a/README.md b/README.md
index aff562d..29dc69b 100644
--- a/README.md
+++ b/README.md
@@ -19,13 +19,12 @@ This is because the walker tries to generate movement by trembling with it's leg
## Hyperparameters
-| Parameter | Description | Interval |
-|-------------------|-------------------------------------------------------------|-----------|
-| `POP_SIZE` | Size of population. | [0;∞[ |
-| `MUTATION_FACTOR` | Percentage of weights that will be mutated for each mutant. | [0;1] |
-| `ACTIONS_START` | Number of actions in the first generation. | [0;1600] |
-| `INCREASE BY` | Incrementation of steps for each episode. | [0;∞[ |
-| `MAX_STEPS` | Number of steps that are played in one episode. | [0; 1600] |
+| Parameter | Description | Interval | Our Choice |
+|-------------------|-------------------------------------------------------------|-----------|------------|
+| `POP_SIZE` | Size of population. | [0;∞[ | 50 |
+| `MUTATION_FACTOR` | Percentage of actions that will be mutated for each walker. | [0;1] | 0.2 |
+| `BRAIN_SIZE` | Number of actions in the first generation. | [0;1600] | 50 |
+| `INCREASE BY` | Incrementation of steps for each episode. | [0;∞[ | 5 |
# Evolution Strategies
After 1000 episodes, which is about 1h of learning, it will reach ~250 reward.\
@@ -39,15 +38,15 @@ Best score until now: 292/300 in 7000 episodes \
4. The better the reward, the higher the chance to pass weights to next gen
## Hyperparameters
-| Parameter | Description | Interval |
-|-------------------|-------------------------------------------------------------|-----------|
-| `HIDDEN_LAYER` | Size of hidden layer. | [1;∞[ |
-| `BIAS` | Add a bias neuron to the input layer. | {0,1} |
-| `POP_SIZE` | Size of population. | [0;∞[ |
-| `MUTATION_FACTOR` | Percentage of weights that will be mutated for each mutant. | [0;1] |
-| `LEARNING_RATE` | This is the rate of learning. | [0;1] |
-| `GENS` | Number of generations. | [0;∞[ |
-| `MAX_STEPS` | Number of steps that are played in one episode. | [0; 1600] |
+| Parameter | Description | Interval | Our Choice |
+|-------------------|-------------------------------------------------------------|-----------|------------|
+| `HIDDEN_LAYER` | Size of hidden layer. | [1;∞[ | 12 |
+| `BIAS` | Add a bias neuron to the input layer. | {0,1} | 0 |
+| `POP_SIZE` | Size of population. | [0;∞[ | 50 |
+| `MUTATION_FACTOR` | Percentage of weights that will be mutated for each mutant. | [0;1] | 0.1 |
+| `LEARNING_RATE` | This is the rate of learning. | [0;1] | 0.03 |
+| `GENS` | Number of generations. | [0;∞[ | 2000 |
+| `MAX_STEPS` | Number of steps that are played in one episode. | [0; 1600] | 300 |
# Installation
--
GitLab