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README.md

@@ -10,23 +10,23 @@ $ python3 pacman.py -p PacmanDQN -n 4000 -x 3000 -l smallGrid
 ```
 ### Parameters
 
-Parameters can be found in the `paramters` dictionary in `pacmanDQN_Agents.py`.__
-__
-Models are saved as "checkpoint" files in the `\saves` directory.__
-Load and save filenames can be set using the `load_file` and `save_file` parameters.__
-__
-Episodes before training starts: `train_start`__
-Size of replay memory batch size: `batch_size`__
-Amount of experience tuples in replay memory: `mem_size`__
-Discount rate (gamma value): `discount`__
-Learning rate: `lr`__
-RMS Prop decay rate: `rms_decay`__
-RMS Prop epsilon value: `rms_eps`__
-__
-Exploration/Exploitation (ε-greedy):__
-Epsilon start value: `eps`__
-Epsilon final value: `eps_final`__
-Number of steps between start and final epsilon value (linear): `eps_step`__
+Parameters can be found in the `paramters` dictionary in `pacmanDQN_Agents.py`.
+
+Models are saved as "checkpoint" files in the `\saves` directory.
+Load and save filenames can be set using the `load_file` and `save_file` parameters.
+
+Episodes before training starts: `train_start`
+Size of replay memory batch size: `batch_size`
+Amount of experience tuples in replay memory: `mem_size`
+Discount rate (gamma value): `discount`
+Learning rate: `lr`
+RMS Prop decay rate: `rms_decay`
+RMS Prop epsilon value: `rms_eps`
+
+Exploration/Exploitation (ε-greedy):
+Epsilon start value: `eps`
+Epsilon final value: `eps_final`
+Number of steps between start and final epsilon value (linear): `eps_step`
 
 
 ## Requirements