First Push
Browse files- README.md +4 -4
- config.json +1 -1
- configuration.yaml +11 -24
- run_logs/timers.json +345 -15
- run_logs/training_status.json +58 -0
README.md
CHANGED
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@@ -1,14 +1,14 @@
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---
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library_name: ml-agents
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tags:
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-
-
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- deep-reinforcement-learning
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- reinforcement-learning
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-
- ML-Agents-
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---
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-
# **ppo** Agent playing **
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-
This is a trained model of a **ppo** agent playing **
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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## Usage (with ML-Agents)
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---
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library_name: ml-agents
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tags:
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+
- SnowballTarget
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- deep-reinforcement-learning
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- reinforcement-learning
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+
- ML-Agents-SnowballTarget
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---
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+
# **ppo** Agent playing **SnowballTarget**
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+
This is a trained model of a **ppo** agent playing **SnowballTarget**
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using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
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## Usage (with ML-Agents)
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config.json
CHANGED
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@@ -1 +1 @@
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-
{"default_settings": null, "behaviors": {"
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+
{"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}}, "init_path": null, "keep_checkpoints": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
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configuration.yaml
CHANGED
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@@ -1,12 +1,12 @@
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default_settings: null
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behaviors:
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-
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 2048
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learning_rate: 0.0003
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-
beta: 0.
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: linear
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beta_schedule: linear
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epsilon_schedule: linear
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-
checkpoint_interval:
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network_settings:
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normalize: false
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-
hidden_units:
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num_layers: 2
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vis_encode_type: simple
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memory: null
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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-
rnd:
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-
gamma: 0.99
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-
strength: 0.01
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-
network_settings:
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-
normalize: false
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-
hidden_units: 64
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-
num_layers: 3
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-
vis_encode_type: simple
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-
memory: null
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-
goal_conditioning_type: hyper
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-
deterministic: false
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-
learning_rate: 0.0001
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-
encoding_size: null
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init_path: null
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-
keep_checkpoints:
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even_checkpoints: false
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-
max_steps:
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-
time_horizon:
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-
summary_freq:
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-
threaded:
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self_play: null
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behavioral_cloning: null
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env_settings:
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-
env_path: ./training-envs-executables/linux/
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env_args: null
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base_port: 5005
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num_envs: 1
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no_graphics_monitor: false
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environment_parameters: null
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checkpoint_settings:
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-
run_id:
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initialize_from: null
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load_model: false
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resume: false
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default_settings: null
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behaviors:
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+
SnowballTarget:
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trainer_type: ppo
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hyperparameters:
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batch_size: 128
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buffer_size: 2048
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learning_rate: 0.0003
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+
beta: 0.005
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epsilon: 0.2
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lambd: 0.95
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num_epoch: 3
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learning_rate_schedule: linear
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beta_schedule: linear
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epsilon_schedule: linear
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+
checkpoint_interval: 50000
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network_settings:
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normalize: false
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+
hidden_units: 256
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num_layers: 2
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vis_encode_type: simple
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memory: null
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memory: null
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goal_conditioning_type: hyper
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deterministic: false
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init_path: null
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+
keep_checkpoints: 10
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even_checkpoints: false
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+
max_steps: 200000
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+
time_horizon: 64
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+
summary_freq: 10000
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+
threaded: true
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self_play: null
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behavioral_cloning: null
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env_settings:
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+
env_path: ./training-envs-executables/linux/SnowballTarget/SnowballTarget
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env_args: null
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base_port: 5005
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num_envs: 1
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no_graphics_monitor: false
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environment_parameters: null
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checkpoint_settings:
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+
run_id: SnowballTarget1
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initialize_from: null
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load_model: false
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resume: false
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run_logs/timers.json
CHANGED
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@@ -1,45 +1,375 @@
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{
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"name": "root",
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"metadata": {
|
| 4 |
"timer_format_version": "0.1.0",
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| 5 |
-
"start_time_seconds": "
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| 6 |
"python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]",
|
| 7 |
-
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/
|
| 8 |
"mlagents_version": "1.1.0.dev0",
|
| 9 |
"mlagents_envs_version": "1.1.0.dev0",
|
| 10 |
"communication_protocol_version": "1.5.0",
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| 11 |
"pytorch_version": "2.2.0+cu121",
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"numpy_version": "1.23.5",
|
| 13 |
-
"end_time_seconds": "
|
| 14 |
},
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| 15 |
-
"total":
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"count": 1,
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| 17 |
-
"self": 0.
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| 18 |
"children": {
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"run_training.setup": {
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| 20 |
-
"total": 0.
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"count": 1,
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-
"self": 0.
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| 23 |
},
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| 24 |
"TrainerController.start_learning": {
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| 25 |
-
"total":
|
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"count": 1,
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| 27 |
-
"self": 0.
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| 28 |
"children": {
|
| 29 |
"TrainerController._reset_env": {
|
| 30 |
-
"total":
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| 31 |
"count": 1,
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| 32 |
-
"self":
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| 33 |
},
|
| 34 |
"trainer_threads": {
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| 35 |
-
"total":
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| 36 |
"count": 1,
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| 37 |
-
"self":
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| 38 |
},
|
| 39 |
"TrainerController._save_models": {
|
| 40 |
-
"total":
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"count": 1,
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| 42 |
-
"self":
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}
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| 44 |
}
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| 45 |
}
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|
| 1 |
{
|
| 2 |
"name": "root",
|
| 3 |
+
"gauges": {
|
| 4 |
+
"SnowballTarget.Policy.Entropy.mean": {
|
| 5 |
+
"value": 0.9914730787277222,
|
| 6 |
+
"min": 0.9914730787277222,
|
| 7 |
+
"max": 2.873957633972168,
|
| 8 |
+
"count": 20
|
| 9 |
+
},
|
| 10 |
+
"SnowballTarget.Policy.Entropy.sum": {
|
| 11 |
+
"value": 9499.3037109375,
|
| 12 |
+
"min": 9499.3037109375,
|
| 13 |
+
"max": 29495.427734375,
|
| 14 |
+
"count": 20
|
| 15 |
+
},
|
| 16 |
+
"SnowballTarget.Step.mean": {
|
| 17 |
+
"value": 199984.0,
|
| 18 |
+
"min": 9952.0,
|
| 19 |
+
"max": 199984.0,
|
| 20 |
+
"count": 20
|
| 21 |
+
},
|
| 22 |
+
"SnowballTarget.Step.sum": {
|
| 23 |
+
"value": 199984.0,
|
| 24 |
+
"min": 9952.0,
|
| 25 |
+
"max": 199984.0,
|
| 26 |
+
"count": 20
|
| 27 |
+
},
|
| 28 |
+
"SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
|
| 29 |
+
"value": 12.96503734588623,
|
| 30 |
+
"min": 0.3656828999519348,
|
| 31 |
+
"max": 12.96503734588623,
|
| 32 |
+
"count": 20
|
| 33 |
+
},
|
| 34 |
+
"SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
|
| 35 |
+
"value": 2528.182373046875,
|
| 36 |
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"min": 70.9424819946289,
|
| 37 |
+
"max": 2602.71875,
|
| 38 |
+
"count": 20
|
| 39 |
+
},
|
| 40 |
+
"SnowballTarget.Environment.EpisodeLength.mean": {
|
| 41 |
+
"value": 199.0,
|
| 42 |
+
"min": 199.0,
|
| 43 |
+
"max": 199.0,
|
| 44 |
+
"count": 20
|
| 45 |
+
},
|
| 46 |
+
"SnowballTarget.Environment.EpisodeLength.sum": {
|
| 47 |
+
"value": 8756.0,
|
| 48 |
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"min": 8756.0,
|
| 49 |
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"max": 10945.0,
|
| 50 |
+
"count": 20
|
| 51 |
+
},
|
| 52 |
+
"SnowballTarget.Losses.PolicyLoss.mean": {
|
| 53 |
+
"value": 0.06374345075849253,
|
| 54 |
+
"min": 0.06169963288562476,
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