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Gal Leibovich
2018-08-20 12:04:29 +03:00
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@@ -17,7 +17,7 @@ Training an agent to solve an environment is as easy as running:
coach -p CartPole_DQN -r coach -p CartPole_DQN -r
``` ```
<img src="img/fetch_slide.gif" alt="Fetch Slide"/> <img src="img/pendulum.gif" alt="Pendulum"/> <img src="img/starcraft.gif" alt="Starcraft"/> <img src="img/fetch_slide.gif" alt="Fetch Slide"/> <img src="img/pendulum.gif" alt="Pendulum"/> <img src="img/starcraft.gif" width = "280" height ="200" alt="Starcraft"/>
<br> <br>
<img src="img/doom_deathmatch.gif" alt="Doom Deathmatch"/> <img src="img/carla.gif" alt="CARLA"/> <img src="img/montezuma.gif" alt="MontezumaRevenge"/> <img src="img/doom_deathmatch.gif" alt="Doom Deathmatch"/> <img src="img/carla.gif" alt="CARLA"/> <img src="img/montezuma.gif" alt="MontezumaRevenge"/>
<br> <br>