Increasing training steps, playing with hyperparameters

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: -1467.76 +/- 587.40
+      value: 17.50 +/- 120.65
       name: mean_reward
     task:
       type: reinforcement-learning

a2c-LunarLander-v2.zip

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a2c-LunarLander-v2/data

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     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
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     "learning_rate": 0.0007,
     "tensorboard_log": null,
     "lr_schedule": {
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     "use_sde": false,
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