Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use byfengwu/ppo-SnowballTarget2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use byfengwu/ppo-SnowballTarget2 with ml-agents:
mlagents-load-from-hf --repo-id="byfengwu/ppo-SnowballTarget2" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.7438400983810425, | |
| "min": 0.7438400983810425, | |
| "max": 2.8733410835266113, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 7069.4560546875, | |
| "min": 7069.4560546875, | |
| "max": 29331.06640625, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Step.mean": { | |
| "value": 199984.0, | |
| "min": 9952.0, | |
| "max": 199984.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Step.sum": { | |
| "value": 199984.0, | |
| "min": 9952.0, | |
| "max": 199984.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 13.24613094329834, | |
| "min": 0.24109481275081635, | |
| "max": 13.24613094329834, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2582.99560546875, | |
| "min": 46.77239227294922, | |
| "max": 2676.44091796875, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06702861777596934, | |
| "min": 0.060474072044170865, | |
| "max": 0.0776448083744767, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.26811447110387737, | |
| "min": 0.24189628817668346, | |
| "max": 0.35168024477338894, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.18499002335410492, | |
| "min": 0.09303034640570154, | |
| "max": 0.31261131627594724, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.7399600934164197, | |
| "min": 0.37212138562280617, | |
| "max": 1.4345333082418814, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.mean": { | |
| "value": 8.082097306000005e-06, | |
| "min": 8.082097306000005e-06, | |
| "max": 0.000291882002706, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.sum": { | |
| "value": 3.232838922400002e-05, | |
| "min": 3.232838922400002e-05, | |
| "max": 0.00138516003828, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.mean": { | |
| "value": 0.10269400000000001, | |
| "min": 0.10269400000000001, | |
| "max": 0.19729400000000002, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.sum": { | |
| "value": 0.41077600000000003, | |
| "min": 0.41077600000000003, | |
| "max": 0.96172, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Beta.mean": { | |
| "value": 0.0001444306000000001, | |
| "min": 0.0001444306000000001, | |
| "max": 0.0048649706, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Beta.sum": { | |
| "value": 0.0005777224000000004, | |
| "min": 0.0005777224000000004, | |
| "max": 0.023089828, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.mean": { | |
| "value": 199.0, | |
| "min": 199.0, | |
| "max": 199.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.sum": { | |
| "value": 8756.0, | |
| "min": 8756.0, | |
| "max": 10945.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.mean": { | |
| "value": 26.363636363636363, | |
| "min": 2.772727272727273, | |
| "max": 26.363636363636363, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1160.0, | |
| "min": 122.0, | |
| "max": 1415.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 26.363636363636363, | |
| "min": 2.772727272727273, | |
| "max": 26.363636363636363, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1160.0, | |
| "min": 122.0, | |
| "max": 1415.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 20 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1778026284", | |
| "python_version": "3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0]", | |
| "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics", | |
| "mlagents_version": "1.2.0.dev0", | |
| "mlagents_envs_version": "1.2.0.dev0", | |
| "communication_protocol_version": "1.5.0", | |
| "pytorch_version": "2.8.0+cu128", | |
| "numpy_version": "1.23.5", | |
| "end_time_seconds": "1778026709" | |
| }, | |
| "total": 424.70969311800036, | |
| "count": 1, | |
| "self": 0.4870298379992164, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.03693676800139656, | |
| "count": 1, | |
| "self": 0.03693676800139656 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 424.18572651199975, | |
| "count": 1, | |
| "self": 0.32001042095726007, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.6275336790004076, | |
| "count": 1, | |
| "self": 3.6275336790004076 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 420.1622600130413, | |
| "count": 18192, | |
| "self": 0.3437884602080885, | |
| "children": { | |
| "env_step": { | |
| "total": 301.45370267887483, | |
| "count": 18192, | |
| "self": 233.7449986947322, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 67.49978193914467, | |
| "count": 18192, | |
| "self": 1.2176911552996899, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 66.28209078384498, | |
| "count": 18192, | |
| "self": 66.28209078384498 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.20892204499796208, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 422.140192097977, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 216.71242000511666, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0073125069993693614, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0034853069992095698, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0038272000001597917, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0038272000001597917 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.03432429900021816, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005580610013566911, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0003764529992622556, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0003764529992622556 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.031537371998638264, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.031537371998638264 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0018524130009609507, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0003461500018602237, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.001506262999100727, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.001506262999100727 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 205.42777209286032, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 9.813661843580121, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.155280595161457, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.155280595161457 | |
| }, | |
| "communicator.exchange": { | |
| "total": 156.26171780396726, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 156.26171780396726 | |
| }, | |
| "steps_from_proto": { | |
| "total": 34.19711185015149, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 6.169904553578817, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 28.02720729657267, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 28.02720729657267 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 118.36476887395838, | |
| "count": 18192, | |
| "self": 0.4000581938198593, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 26.32711353114246, | |
| "count": 18192, | |
| "self": 25.943540612141078, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.3835729190013808, | |
| "count": 4, | |
| "self": 0.3835729190013808 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 91.63759714899606, | |
| "count": 90, | |
| "self": 36.919012084015776, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 54.71858506498029, | |
| "count": 4587, | |
| "self": 54.71858506498029 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.070008673006669e-07, | |
| "count": 1, | |
| "self": 9.070008673006669e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.07592149199990672, | |
| "count": 1, | |
| "self": 0.0007129159985197475, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.07520857600138697, | |
| "count": 1, | |
| "self": 0.07520857600138697 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |