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README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 174.28 +/- 45.84
+      value: 137.55 +/- 96.07
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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optimizer_class: The optimizer to use,\n        ``th.optim.Adam`` by default\n    :param optimizer_kwargs: Additional keyword arguments,\n        excluding the learning rate, to pass to the optimizer\n    ", "__init__": "<function DQNPolicy.__init__ at 0x7efd33b69310>", "_build": "<function DQNPolicy._build at 0x7efd33b693a0>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7efd33b69430>", "forward": "<function DQNPolicy.forward at 0x7efd33b694c0>", "_predict": "<function DQNPolicy._predict at 0x7efd33b69550>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7efd33b695e0>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7efd33b69670>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7efd33b6b0c0>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 100000, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1709621653573777784, 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