benchmarks and pip package updates

benchmarks/dueling_ddqn/README.md

@@ -3,12 +3,33 @@
 Each experiment uses 3 seeds and is trained for 10k environment steps.
 The parameters used for Dueling DDQN are the same parameters as described in the [original paper](https://arxiv.org/abs/1706.01502).
 
+### Pong Dueling DDQN - single worker
+
+```bash
+coach -p Atari_Dueling_DDQN -lvl pong
+```
+
+<img src="pong_dueling_ddqn.png" alt="Pong Dueling DDQN" width="800"/>
+
+
 ### Breakout Dueling DDQN - single worker
 
 ```bash
-python3 coach.py -p Atari_Dueling_DDQN -lvl breakout
+coach -p Atari_Dueling_DDQN -lvl breakout
 ```
 
 <img src="breakout_dueling_ddqn.png" alt="Breakout Dueling DDQN" width="800"/>
 
 
+### Space Invaders Dueling DDQN - single worker
+
+```bash
+coach -p Atari_Dueling_DDQN -lvl space_invaders
+```
+
+<img src="space_invaders_dueling_ddqn.png" alt="Space Invaders Dueling DDQN" width="800"/>
+
+
+
+
+