fourth commit

README.md

@@ -6,7 +6,7 @@ tags:
 - reinforcement-learning
 - stable-baselines3
 model-index:
-- name: PPO
+- name: DQN
   results:
   - task:
       type: reinforcement-learning
@@ -16,13 +16,13 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: -213.77 +/- 226.10
+      value: -263.98 +/- 144.76
       name: mean_reward
       verified: false
 ---
 
-# **PPO** Agent playing **LunarLander-v2**
-This is a trained model of a **PPO** agent playing **LunarLander-v2**
+# **DQN** Agent playing **LunarLander-v2**
+This is a trained model of a **DQN** agent playing **LunarLander-v2**
 using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
 
 ## Usage (with Stable-baselines3)

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 0x7c3765d132e0>", "_build": "<function DQNPolicy._build at 0x7c3765d13370>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7c3765d13400>", "forward": "<function DQNPolicy.forward at 0x7c3765d13490>", "_predict": "<function DQNPolicy._predict at 0x7c3765d13520>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7c3765d135b0>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7c3765d13640>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c3765d1f740>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 100032, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1714852938458336482, 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https://github.com/DLR-RM/stable-baselines3/issues/284\n    ", "__init__": "<function ReplayBuffer.__init__ at 0x7c3765cfb760>", "add": "<function ReplayBuffer.add at 0x7c3765cfb7f0>", "sample": "<function ReplayBuffer.sample at 0x7c3765cfb880>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7c3765cfb910>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c3766616f00>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.05, "exploration_fraction": 0.1, "target_update_interval": 625, "_n_calls": 6880, "max_grad_norm": 10, "exploration_rate": 0.05, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": 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results.json

@@ -1 +1 @@
-{"mean_reward": -213.7701868, "std_reward": 226.10321121842955, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-04T20:04:02.570595"}
+{"mean_reward": -263.98154880000004, "std_reward": 144.76202476212245, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-04T20:14:44.192374"}