Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use cmjaramile/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use cmjaramile/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="cmjaramile/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.7170038819313049, | |
| "min": 0.7170038819313049, | |
| "max": 2.849374532699585, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 6814.40478515625, | |
| "min": 6814.40478515625, | |
| "max": 29086.416015625, | |
| "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": 12.871124267578125, | |
| "min": 0.31479066610336304, | |
| "max": 12.871124267578125, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2509.869140625, | |
| "min": 61.06938934326172, | |
| "max": 2610.96142578125, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.07426913766177641, | |
| "min": 0.062340034129567144, | |
| "max": 0.07728020640694441, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.29707655064710564, | |
| "min": 0.24936013651826858, | |
| "max": 0.38640103203472204, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.19394765940367006, | |
| "min": 0.12874440204434318, | |
| "max": 0.2811643300103206, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.7757906376146803, | |
| "min": 0.5149776081773727, | |
| "max": 1.3864895006020863, | |
| "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": 25.454545454545453, | |
| "min": 3.5454545454545454, | |
| "max": 25.681818181818183, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1120.0, | |
| "min": 156.0, | |
| "max": 1392.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 25.454545454545453, | |
| "min": 3.5454545454545454, | |
| "max": 25.681818181818183, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1120.0, | |
| "min": 156.0, | |
| "max": 1392.0, | |
| "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": "1783022791", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", | |
| "command_line_arguments": "/usr/local/bin/mlagents-learn /content/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget2 --no-graphics --force", | |
| "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": "1783023580" | |
| }, | |
| "total": 789.139154603, | |
| "count": 1, | |
| "self": 0.9505620250001812, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.03804915199998504, | |
| "count": 1, | |
| "self": 0.03804915199998504 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 788.1505434259998, | |
| "count": 1, | |
| "self": 0.5642361140489811, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.984056598999814, | |
| "count": 1, | |
| "self": 3.984056598999814 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 783.3918465949519, | |
| "count": 18192, | |
| "self": 0.5569624301406293, | |
| "children": { | |
| "env_step": { | |
| "total": 593.9856056248818, | |
| "count": 18192, | |
| "self": 488.390564265801, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 105.25798858102007, | |
| "count": 18192, | |
| "self": 1.8763829380568495, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 103.38160564296322, | |
| "count": 18192, | |
| "self": 103.38160564296322 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.33705277806075173, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 780.7887304509841, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 352.06102459597514, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.004853637000451272, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0007601290008096839, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.004093507999641588, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.004093507999641588 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.09955226599959133, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006345179999698303, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0023351079998974456, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0023351079998974456 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.08962097899984656, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.08962097899984656 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.006961660999877495, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0003846850022455328, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.006576975997631962, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.006576975997631962 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 428.72770585500894, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 12.516839495273416, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.7071867639260745, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.7071867639260745 | |
| }, | |
| "communicator.exchange": { | |
| "total": 340.036357533967, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 340.036357533967 | |
| }, | |
| "steps_from_proto": { | |
| "total": 70.46732206184242, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 12.606582177909331, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 57.86073988393309, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 57.86073988393309 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 188.8492785399294, | |
| "count": 18192, | |
| "self": 0.7245181098915054, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 38.977636828044524, | |
| "count": 18192, | |
| "self": 38.19412665204436, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.7835101760001635, | |
| "count": 4, | |
| "self": 0.7835101760001635 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 149.14712360199337, | |
| "count": 90, | |
| "self": 71.63568960995963, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 77.51143399203374, | |
| "count": 4587, | |
| "self": 77.51143399203374 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.27099974633893e-06, | |
| "count": 1, | |
| "self": 1.27099974633893e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.21040284699938638, | |
| "count": 1, | |
| "self": 0.0009470219993090723, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.2094558250000773, | |
| "count": 1, | |
| "self": 0.2094558250000773 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |