Initial commit
Browse files- .gitattributes +1 -0
- README.md +67 -0
- args.yml +75 -0
- config.yml +27 -0
- dqn-LunarLander-v2.zip +3 -0
- dqn-LunarLander-v2/_stable_baselines3_version +1 -0
- dqn-LunarLander-v2/data +120 -0
- dqn-LunarLander-v2/policy.optimizer.pth +3 -0
- dqn-LunarLander-v2/policy.pth +3 -0
- dqn-LunarLander-v2/pytorch_variables.pth +3 -0
- dqn-LunarLander-v2/system_info.txt +7 -0
- env_kwargs.yml +1 -0
- replay.mp4 +3 -0
- results.json +1 -0
- train_eval_metrics.zip +3 -0
.gitattributes
CHANGED
@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: stable-baselines3
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tags:
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- LunarLander-v2
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: DQN
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results:
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- metrics:
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- type: mean_reward
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value: 199.35 +/- 83.29
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name: mean_reward
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task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: LunarLander-v2
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type: LunarLander-v2
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---
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# **DQN** Agent playing **LunarLander-v2**
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This is a trained model of a **DQN** agent playing **LunarLander-v2**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
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and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
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The RL Zoo is a training framework for Stable Baselines3
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reinforcement learning agents,
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with hyperparameter optimization and pre-trained agents included.
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## Usage (with SB3 RL Zoo)
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RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo<br/>
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SB3: https://github.com/DLR-RM/stable-baselines3<br/>
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SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
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```
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# Download model and save it into the logs/ folder
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python -m utils.load_from_hub --algo dqn --env LunarLander-v2 -orga theicfire -f logs/
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python enjoy.py --algo dqn --env LunarLander-v2 -f logs/
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```
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## Training (with the RL Zoo)
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```
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python train.py --algo dqn --env LunarLander-v2 -f logs/
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# Upload the model and generate video (when possible)
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python -m utils.push_to_hub --algo dqn --env LunarLander-v2 -f logs/ -orga theicfire
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```
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## Hyperparameters
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```python
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OrderedDict([('batch_size', 128),
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('buffer_size', 50000),
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('exploration_final_eps', 0.1),
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('exploration_fraction', 0.12),
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('gamma', 0.99),
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('gradient_steps', -1),
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('learning_rate', 0.00063),
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('learning_starts', 0),
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('n_timesteps', 100000.0),
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('policy', 'MlpPolicy'),
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('policy_kwargs', 'dict(net_arch=[256, 256])'),
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('target_update_interval', 250),
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('train_freq', 4),
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('normalize', False)])
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```
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args.yml
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!!python/object/apply:collections.OrderedDict
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- - - algo
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- dqn
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- - device
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- auto
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+
- - env
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+
- LunarLander-v2
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- - env_kwargs
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+
- null
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+
- - eval_episodes
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- 5
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- - eval_freq
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- 25000
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- - gym_packages
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- []
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- - hyperparams
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- null
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+
- - log_folder
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- logs/
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+
- - log_interval
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- -1
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+
- - max_total_trials
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- null
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+
- - n_eval_envs
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- 1
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- - n_evaluations
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- null
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- - n_jobs
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- 1
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- - n_startup_trials
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- 10
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- - n_timesteps
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- -1
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- - n_trials
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- 500
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- - no_optim_plots
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- false
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- - num_threads
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- -1
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- - optimization_log_path
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- null
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- - optimize_hyperparameters
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- false
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- - pruner
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- median
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- - sampler
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- tpe
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- - save_freq
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- -1
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- - save_replay_buffer
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- false
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- - seed
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+
- 725558725
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+
- - storage
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+
- null
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+
- - study_name
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- null
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- - tensorboard_log
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- ''
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- - track
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- false
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- - trained_agent
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- ''
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- - truncate_last_trajectory
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- true
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+
- - uuid
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- false
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- - vec_env
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- dummy
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- - verbose
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- 1
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+
- - wandb_entity
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- null
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+
- - wandb_project_name
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- sb3
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config.yml
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!!python/object/apply:collections.OrderedDict
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- - - batch_size
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- 128
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- - buffer_size
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- 50000
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- - exploration_final_eps
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- 0.1
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+
- - exploration_fraction
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- 0.12
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+
- - gamma
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- 0.99
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+
- - gradient_steps
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- -1
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+
- - learning_rate
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+
- 0.00063
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+
- - learning_starts
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- 0
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- - n_timesteps
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+
- 100000.0
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+
- - policy
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- MlpPolicy
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+
- - policy_kwargs
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+
- dict(net_arch=[256, 256])
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- - target_update_interval
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- 250
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- - train_freq
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- 4
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dqn-LunarLander-v2.zip
ADDED
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:17bf98020f411c13cb6039fcc3071ec137968c0a999da70bacaabba23f4e1ed8
|
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+
size 1136156
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dqn-LunarLander-v2/_stable_baselines3_version
ADDED
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1.6.0
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dqn-LunarLander-v2/data
ADDED
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{
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"policy_class": {
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":type:": "<class 'abc.ABCMeta'>",
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":serialized:": "gASVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=",
|
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+
"__module__": "stable_baselines3.dqn.policies",
|
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"__doc__": "\n Policy class with Q-Value Net and target net for DQN\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param 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 ",
|
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+
"__init__": "<function DQNPolicy.__init__ at 0x7f6263d219e0>",
|
8 |
+
"_build": "<function DQNPolicy._build at 0x7f6263d21a70>",
|
9 |
+
"make_q_net": "<function DQNPolicy.make_q_net at 0x7f6263d21b00>",
|
10 |
+
"forward": "<function DQNPolicy.forward at 0x7f6263d21b90>",
|
11 |
+
"_predict": "<function DQNPolicy._predict at 0x7f6263d21c20>",
|
12 |
+
"_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f6263d21cb0>",
|
13 |
+
"set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f6263d21d40>",
|
14 |
+
"__abstractmethods__": "frozenset()",
|
15 |
+
"_abc_impl": "<_abc_data object at 0x7f6263d098d0>"
|
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},
|
17 |
+
"verbose": 1,
|
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+
"policy_kwargs": {
|
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"net_arch": [
|
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256,
|
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+
256
|
22 |
+
]
|
23 |
+
},
|
24 |
+
"observation_space": {
|
25 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
26 |
+
":serialized:": "gASVwwEAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lGgFk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLCIWUjANsb3eUjBVudW1weS5jb3JlLm11bHRpYXJyYXmUjAxfcmVjb25zdHJ1Y3SUk5RoBowHbmRhcnJheZSTlEsAhZRDAWKUh5RSlChLAUsIhZRoColDIAAAgP8AAID/AACA/wAAgP8AAID/AACA/wAAgP8AAID/lHSUYowEaGlnaJRoEmgUSwCFlGgWh5RSlChLAUsIhZRoColDIAAAgH8AAIB/AACAfwAAgH8AAIB/AACAfwAAgH8AAIB/lHSUYowNYm91bmRlZF9iZWxvd5RoEmgUSwCFlGgWh5RSlChLAUsIhZRoB4wCYjGUiYiHlFKUKEsDjAF8lE5OTkr/////Sv////9LAHSUYolDCAAAAAAAAAAAlHSUYowNYm91bmRlZF9hYm92ZZRoEmgUSwCFlGgWh5RSlChLAUsIhZRoKolDCAAAAAAAAAAAlHSUYowKX25wX3JhbmRvbZROdWIu",
|
27 |
+
"dtype": "float32",
|
28 |
+
"_shape": [
|
29 |
+
8
|
30 |
+
],
|
31 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
|
32 |
+
"high": "[inf inf inf inf inf inf inf inf]",
|
33 |
+
"bounded_below": "[False False False False False False False False]",
|
34 |
+
"bounded_above": "[False False False False False False False False]",
|
35 |
+
"_np_random": null
|
36 |
+
},
|
37 |
+
"action_space": {
|
38 |
+
":type:": "<class 'gym.spaces.discrete.Discrete'>",
|
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