Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use aghdam/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use aghdam/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="aghdam/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.9162722229957581, | |
| "min": 0.9162722229957581, | |
| "max": 2.852632999420166, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 8708.2509765625, | |
| "min": 8708.2509765625, | |
| "max": 29119.677734375, | |
| "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": 12.742462158203125, | |
| "min": 0.44019535183906555, | |
| "max": 12.742462158203125, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2484.780029296875, | |
| "min": 85.39789581298828, | |
| "max": 2580.85205078125, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06639756204793801, | |
| "min": 0.06100237692636237, | |
| "max": 0.07360451979284156, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.26559024819175203, | |
| "min": 0.2440095077054495, | |
| "max": 0.35411339910648415, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.20609476154341416, | |
| "min": 0.1396923542556846, | |
| "max": 0.290093705715502, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.8243790461736566, | |
| "min": 0.5587694170227384, | |
| "max": 1.363314232697674, | |
| "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": 25.40909090909091, | |
| "min": 3.75, | |
| "max": 25.40909090909091, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1118.0, | |
| "min": 165.0, | |
| "max": 1369.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 25.40909090909091, | |
| "min": 3.75, | |
| "max": 25.40909090909091, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1118.0, | |
| "min": 165.0, | |
| "max": 1369.0, | |
| "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": "1741963060", | |
| "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": "2.6.0+cu124", | |
| "numpy_version": "1.23.5", | |
| "end_time_seconds": "1741963492" | |
| }, | |
| "total": 432.07542698399993, | |
| "count": 1, | |
| "self": 0.5584404939995693, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.030052730000079464, | |
| "count": 1, | |
| "self": 0.030052730000079464 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 431.4869337600003, | |
| "count": 1, | |
| "self": 0.3446839869941414, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.469674556999962, | |
| "count": 1, | |
| "self": 3.469674556999962 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 427.583158692006, | |
| "count": 18192, | |
| "self": 0.34814666200509237, | |
| "children": { | |
| "env_step": { | |
| "total": 305.7227951770044, | |
| "count": 18192, | |
| "self": 233.57209927000804, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 71.94077298498269, | |
| "count": 18192, | |
| "self": 1.2662936080348572, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 70.67447937694783, | |
| "count": 18192, | |
| "self": 70.67447937694783 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.2099229220136749, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 429.9554564310138, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 224.59824960302853, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.011154239000006783, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.009416278999879069, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.001737960000127714, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.001737960000127714 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.06041906900009053, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005724940001528012, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.00039160400001492235, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00039160400001492235 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.05755808699996123, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.05755808699996123 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0018968839999615739, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00034249699979227444, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0015543870001692994, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0015543870001692994 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 205.35720682798524, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 9.724874797984057, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.688428061042259, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.688428061042259 | |
| }, | |
| "communicator.exchange": { | |
| "total": 157.76781769600166, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 157.76781769600166 | |
| }, | |
| "steps_from_proto": { | |
| "total": 32.176086272957264, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 5.703723577833216, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 26.472362695124048, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 26.472362695124048 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 121.51221685299652, | |
| "count": 18192, | |
| "self": 0.41311344700920927, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 27.132865653987892, | |
| "count": 18192, | |
| "self": 26.586486358988395, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.5463792949994968, | |
| "count": 4, | |
| "self": 0.5463792949994968 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 93.96623775199942, | |
| "count": 90, | |
| "self": 37.924850322991006, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 56.04138742900841, | |
| "count": 4587, | |
| "self": 56.04138742900841 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.750001481734216e-07, | |
| "count": 1, | |
| "self": 9.750001481734216e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.08941554900002302, | |
| "count": 1, | |
| "self": 0.000863553000272077, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.08855199599975094, | |
| "count": 1, | |
| "self": 0.08855199599975094 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |