Update README.md

README.md

@@ -87,6 +87,21 @@ Also: Decay alpha and sigma to 0.05 after 1000 gens and 0.01 after 5000 gens for
 | `GENS`            | Number of generations.                                      | [0;∞[     | 2000       |
 | `MAX_STEPS`       | Number of steps that are played in one episode.             | [0; 1600] | 300        |
 
+## ES Transfer: Solving the LunarLanderContinuous-v2
+✅ After 30 minutes of learning it will reach >200 reward in 100 consecutive episodes.
+
+Rewards of fully learned agent in 100 episodes:\
+![Rewards 100 Episodes](./EvolutionStrategies/LunarLander/100consecutiveEpisodes.png)
+
+| Parameter         | Description                                                 | Interval  | Our Choice |
+|-------------------|-------------------------------------------------------------|-----------|------------|
+| `HIDDEN_LAYER`    | Size of hidden layer.                                       | [1;∞[     | 4          |
+| `BIAS`            | Add a bias neuron to the input layer.                       | {0,1}     | 1          |
+| `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]     | 0.1        |
+| `GENS`            | Number of generations.                                      | [0;∞[     | 500        |
+| `MAX_STEPS`       | Number of steps that are played in one episode.             | [0; 1000] | 1000       |
 
 # Installation
 We use Windows, Anaconda and Python 3.7 \
@@ -95,8 +110,6 @@ We use Windows, Anaconda and Python 3.7 \
 `conda install swig`\
 `pip install -r requirements.txt`
 
-
-
 # Important Sources
 Environment: https://github.com/openai/gym/wiki/BipedalWalker-v2 \
 Table of all Environments: https://github.com/openai/gym/wiki/Table-of-environments \