tidy

README.md

@@ -12,7 +12,7 @@ This project is a reinforcement learning environment for node. You can train a m
 - `npm train`: this will train in node
   - you ideally need a CUDA capable GPU with 8GB+ of memory.
   - will take 8 hours to see results, 44 hours for good results
-- `npm run`: this will start a server to view the results. Result will refresh every few hours when a model checkpoint in saved.
+- `npm start` (in another terminal): this will start a server to view the results. Result will refresh every few hours when a model checkpoint in saved.
 
 ## Modifying
 
@@ -35,9 +35,5 @@ This project is a reinforcement learning environment for node. You can train a m
 
 # Future work
 
-- [ ] I would like to run the strength, stiffness (in box2d this seems to be max torque), friction, etc to allow a more elegant walking behaviour
+- [ ] I would like to tweak the strength, stiffness (in box2d this seems to be max torque), friction, etc to allow a more elegant walking behaviour
 - [ ] Clean up the html UI
-
-# License
-
-ISC

src/index.html

@@ -53,6 +53,7 @@
       <button onclick="game.agent.restore('./checkpoints', 'model-ddpg-walker-22h/model')">22 hours</button>
       <button onclick="game.agent.restore('./checkpoints', 'model-ddpg-walker-42h/model')">42 hours</button>
       <button onclick="game.agent.restore('./checkpoints', 'model-ddpg-walker-60h/model')">60 hours</button>
+      <button onclick="game.agent.restore('../outputs', 'model-ddpg-walker/model')">Latest</button>
     </div>
     <div>
       <h4>Be mean:</h4><button onclick="game.agent.env.chuckBalls()">Thow balls</button>