Galeros commited on
Commit
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1 Parent(s): 502fcbc

DQN trained with rl-baselines3-zoo.

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+ "__doc__": "\n Replay buffer used in off-policy algorithms like SAC/TD3.\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param device:\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n of the replay buffer which reduces by almost a factor two the memory used,\n at a cost of more complexity.\n See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n ",
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+ }
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+ size 541953
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+ oid sha256:dcfe814833ea8b5aa612b57e7df175f7b21adf006cbce8b9fd8f22b71f485d92
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+ OS: Linux-4.15.0-184-generic-x86_64-with-Ubuntu-18.04-bionic #194-Ubuntu SMP Thu Jun 2 18:54:48 UTC 2022
2
+ Python: 3.6.9
3
+ Stable-Baselines3: 1.3.0
4
+ PyTorch: 1.10.2+cu102
5
+ GPU Enabled: True
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+ Numpy: 1.19.5
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+ Gym: 0.19.0
README.md ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: stable-baselines3
3
+ tags:
4
+ - MountainCar-v0
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - stable-baselines3
8
+ model-index:
9
+ - name: DQN
10
+ results:
11
+ - metrics:
12
+ - type: mean_reward
13
+ value: -104.90 +/- 6.80
14
+ name: mean_reward
15
+ task:
16
+ type: reinforcement-learning
17
+ name: reinforcement-learning
18
+ dataset:
19
+ name: MountainCar-v0
20
+ type: MountainCar-v0
21
+ ---
22
+
23
+ # **DQN** Agent playing **MountainCar-v0**
24
+ This is a trained model of a **DQN** agent playing **MountainCar-v0**
25
+ using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
26
+
27
+ ## Usage (with Stable-baselines3)
28
+ TODO: Add your code
29
+
30
+
31
+ ```python
32
+ from stable_baselines3 import ...
33
+ from huggingface_sb3 import load_from_hub
34
+
35
+ ...
36
+ ```
config.json ADDED
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results.json ADDED
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