Quentin Gallouédec
commited on
Commit
•
fa48352
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Parent(s):
277d717
Initial commit
Browse files- .gitattributes +1 -0
- README.md +79 -0
- args.yml +83 -0
- config.yml +27 -0
- env_kwargs.yml +1 -0
- qrdqn-LunarLander-v2.zip +3 -0
- qrdqn-LunarLander-v2/_stable_baselines3_version +1 -0
- qrdqn-LunarLander-v2/data +129 -0
- qrdqn-LunarLander-v2/policy.optimizer.pth +3 -0
- qrdqn-LunarLander-v2/policy.pth +3 -0
- qrdqn-LunarLander-v2/pytorch_variables.pth +3 -0
- qrdqn-LunarLander-v2/system_info.txt +7 -0
- replay.mp4 +3 -0
- results.json +1 -0
- train_eval_metrics.zip +3 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ 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
ADDED
@@ -0,0 +1,79 @@
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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: QRDQN
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results:
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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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metrics:
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- type: mean_reward
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value: 212.07 +/- 41.92
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name: mean_reward
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verified: false
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---
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# **QRDQN** Agent playing **LunarLander-v2**
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This is a trained model of a **QRDQN** 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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Install the RL Zoo (with SB3 and SB3-Contrib):
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```bash
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pip install rl_zoo3
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```
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```
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# Download model and save it into the logs/ folder
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python -m rl_zoo3.load_from_hub --algo qrdqn --env LunarLander-v2 -orga qgallouedec -f logs/
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python -m rl_zoo3.enjoy --algo qrdqn --env LunarLander-v2 -f logs/
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```
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If you installed the RL Zoo3 via pip (`pip install rl_zoo3`), from anywhere you can do:
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```
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python -m rl_zoo3.load_from_hub --algo qrdqn --env LunarLander-v2 -orga qgallouedec -f logs/
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python -m rl_zoo3.enjoy --algo qrdqn --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 -m rl_zoo3.train --algo qrdqn --env LunarLander-v2 -f logs/
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# Upload the model and generate video (when possible)
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python -m rl_zoo3.push_to_hub --algo qrdqn --env LunarLander-v2 -f logs/ -orga qgallouedec
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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', 100000),
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('exploration_final_eps', 0.18),
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('exploration_fraction', 0.24),
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('gamma', 0.995),
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('gradient_steps', -1),
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('learning_rate', 'lin_1.5e-3'),
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('learning_starts', 10000),
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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], n_quantiles=170)'),
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('target_update_interval', 1),
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('train_freq', 256),
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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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- qrdqn
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- - conf_file
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- null
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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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- 20
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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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- 5
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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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+
- - progress
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+
- false
|
48 |
+
- - pruner
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49 |
+
- median
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+
- - sampler
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51 |
+
- 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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+
- 3752531572
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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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+
- runs/LunarLander-v2__qrdqn__3752531572__1677081765
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- - track
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65 |
+
- true
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66 |
+
- - 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
|
77 |
+
- openrlbenchmark
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78 |
+
- - wandb_project_name
|
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+
- sb3
|
80 |
+
- - wandb_tags
|
81 |
+
- []
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+
- - yaml_file
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+
- null
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config.yml
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+
!!python/object/apply:collections.OrderedDict
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- - - batch_size
|
3 |
+
- 128
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4 |
+
- - buffer_size
|
5 |
+
- 100000
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6 |
+
- - exploration_final_eps
|
7 |
+
- 0.18
|
8 |
+
- - exploration_fraction
|
9 |
+
- 0.24
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10 |
+
- - gamma
|
11 |
+
- 0.995
|
12 |
+
- - gradient_steps
|
13 |
+
- -1
|
14 |
+
- - learning_rate
|
15 |
+
- lin_1.5e-3
|
16 |
+
- - learning_starts
|
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+
- 10000
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18 |
+
- - n_timesteps
|
19 |
+
- 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], n_quantiles=170)
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+
- - target_update_interval
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- 1
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+
- - train_freq
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+
- 256
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env_kwargs.yml
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{}
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qrdqn-LunarLander-v2.zip
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:755399941c21357c60ebd3a7619af223d9aff6793841c9d0a9a1227d2ff5083c
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size 3917231
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qrdqn-LunarLander-v2/_stable_baselines3_version
ADDED
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1.8.0a6
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qrdqn-LunarLander-v2/data
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{
|
2 |
+
"policy_class": {
|
3 |
+
":type:": "<class 'abc.ABCMeta'>",
|
4 |
+
":serialized:": "gAWVLgAAAAAAAACMGnNiM19jb250cmliLnFyZHFuLnBvbGljaWVzlIwLUVJEUU5Qb2xpY3mUk5Qu",
|
5 |
+
"__module__": "sb3_contrib.qrdqn.policies",
|
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+
"__doc__": "\n Policy class with quantile and target networks for QR-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 n_quantiles: Number of quantiles\n :param net_arch: The specification of the network architecture.\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 QRDQNPolicy.__init__ at 0x7faee62d3820>",
|
8 |
+
"_build": "<function QRDQNPolicy._build at 0x7faee62d38b0>",
|
9 |
+
"make_quantile_net": "<function QRDQNPolicy.make_quantile_net at 0x7faee62d3940>",
|
10 |
+
"forward": "<function QRDQNPolicy.forward at 0x7faee62d39d0>",
|
11 |
+
"_predict": "<function QRDQNPolicy._predict at 0x7faee62d3a60>",
|
12 |
+
"_get_constructor_parameters": "<function QRDQNPolicy._get_constructor_parameters at 0x7faee62d3af0>",
|
13 |
+
"set_training_mode": "<function QRDQNPolicy.set_training_mode at 0x7faee62d3b80>",
|
14 |
+
"__abstractmethods__": "frozenset()",
|
15 |
+
"_abc_impl": "<_abc._abc_data object at 0x7faee62d4940>"
|
16 |
+
},
|
17 |
+
"verbose": 1,
|
18 |
+
"policy_kwargs": {
|
19 |
+
":type:": "<class 'dict'>",
|
20 |
+
":serialized:": "gAWVfQAAAAAAAAB9lCiMCG5ldF9hcmNolF2UKE0AAU0AAWWMC25fcXVhbnRpbGVzlEuqjA9vcHRpbWl6ZXJfY2xhc3OUjBB0b3JjaC5vcHRpbS5hZGFtlIwEQWRhbZSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lIwDZXBzlEc/FHrhR64Ue3N1Lg==",
|
21 |
+
"net_arch": [
|
22 |
+
256,
|
23 |
+
256
|
24 |
+
],
|
25 |
+
"n_quantiles": 170,
|
26 |
+
"optimizer_class": "<class 'torch.optim.adam.Adam'>",
|
27 |
+
"optimizer_kwargs": {
|
28 |
+
"eps": 7.8125e-05
|
29 |
+
}
|
30 |
+
},
|
31 |
+
"observation_space": {
|
32 |
+
":type:": "<class 'gym.spaces.box.Box'>",
|
33 |
+
":serialized:": "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",
|
34 |
+
"dtype": "float32",
|
35 |
+
"_shape": [
|
36 |
+
8
|
37 |
+
],
|
38 |
+
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
|
39 |
+
"high": "[inf inf inf inf inf inf inf inf]",
|
40 |
+
"bounded_below": "[False False False False False False False False]",
|
41 |
+
"bounded_above": "[False False False False False False False False]",
|
42 |
+
"_np_random": null
|
43 |
+
},
|
44 |
+
"action_space": {
|
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