Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use antorchn/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use antorchn/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="antorchn/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.9657704830169678, | |
| "min": 0.9540870189666748, | |
| "max": 2.8596322536468506, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 9178.6826171875, | |
| "min": 9178.6826171875, | |
| "max": 29191.125, | |
| "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": 12.45753002166748, | |
| "min": 0.4143187999725342, | |
| "max": 12.467453002929688, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2429.21826171875, | |
| "min": 80.37784576416016, | |
| "max": 2543.3603515625, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06839954518192612, | |
| "min": 0.06476389558220569, | |
| "max": 0.07331977294599318, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.2735981807277045, | |
| "min": 0.25905558232882275, | |
| "max": 0.3665988647299659, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.23048978130899223, | |
| "min": 0.11588015878463492, | |
| "max": 0.30925284289554056, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.9219591252359689, | |
| "min": 0.4635206351385397, | |
| "max": 1.3518392268349144, | |
| "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": 24.545454545454547, | |
| "min": 3.1136363636363638, | |
| "max": 24.727272727272727, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1080.0, | |
| "min": 137.0, | |
| "max": 1335.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 24.545454545454547, | |
| "min": 3.1136363636363638, | |
| "max": 24.727272727272727, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1080.0, | |
| "min": 137.0, | |
| "max": 1335.0, | |
| "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": "1776175274", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [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": "1776175759" | |
| }, | |
| "total": 484.82392686000014, | |
| "count": 1, | |
| "self": 0.43549908300019524, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.02720938999993905, | |
| "count": 1, | |
| "self": 0.02720938999993905 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 484.361218387, | |
| "count": 1, | |
| "self": 0.43960987200000545, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.4708598900000425, | |
| "count": 1, | |
| "self": 3.4708598900000425 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 480.3711740809997, | |
| "count": 18192, | |
| "self": 0.45027603002017713, | |
| "children": { | |
| "env_step": { | |
| "total": 353.99402979798174, | |
| "count": 18192, | |
| "self": 275.7394358279805, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 77.98621717897595, | |
| "count": 18192, | |
| "self": 1.4203816859680956, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 76.56583549300785, | |
| "count": 18192, | |
| "self": 76.56583549300785 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.26837679102527545, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 482.31680897603144, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 241.05248639602098, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.005088980999971682, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.003523224999980812, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.00156575599999087, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.00156575599999087 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.0800782240000899, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006152180001208762, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0004042390000904561, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0004042390000904561 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.07583290799993847, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.07583290799993847 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.003225858999940101, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00036495599988484173, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0028609030000552593, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0028609030000552593 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 241.26432258001046, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 11.03380422800933, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.821304378019249, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.821304378019249 | |
| }, | |
| "communicator.exchange": { | |
| "total": 184.71529434100262, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 184.71529434100262 | |
| }, | |
| "steps_from_proto": { | |
| "total": 39.69391963297926, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 7.15312965002704, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 32.54078998295222, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 32.54078998295222 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 125.92686825299779, | |
| "count": 18192, | |
| "self": 0.6067906300083905, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 27.939263589989196, | |
| "count": 18192, | |
| "self": 27.489802795989362, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.4494607939998332, | |
| "count": 4, | |
| "self": 0.4494607939998332 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 97.3808140330002, | |
| "count": 90, | |
| "self": 39.479544816998214, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 57.90126921600199, | |
| "count": 4587, | |
| "self": 57.90126921600199 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.610000688553555e-07, | |
| "count": 1, | |
| "self": 9.610000688553555e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.07957358300018313, | |
| "count": 1, | |
| "self": 0.0007393600003524625, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.07883422299983067, | |
| "count": 1, | |
| "self": 0.07883422299983067 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |