Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use jeebeekay/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use jeebeekay/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="jeebeekay/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.9515231847763062, | |
| "min": 0.9515231847763062, | |
| "max": 2.842681884765625, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 9043.2763671875, | |
| "min": 9043.2763671875, | |
| "max": 29018.09765625, | |
| "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": 12.848380088806152, | |
| "min": 0.3431442081928253, | |
| "max": 12.848380088806152, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2505.43408203125, | |
| "min": 66.56997680664062, | |
| "max": 2599.9765625, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06767506439720426, | |
| "min": 0.061183262710213, | |
| "max": 0.07532585360732971, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.27070025758881705, | |
| "min": 0.25713159748285724, | |
| "max": 0.36073578394565387, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.20697315617957537, | |
| "min": 0.13136881557818247, | |
| "max": 0.27621976715676927, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.8278926247183015, | |
| "min": 0.5254752623127299, | |
| "max": 1.3810988357838463, | |
| "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": 24.84090909090909, | |
| "min": 3.8636363636363638, | |
| "max": 25.763636363636362, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1093.0, | |
| "min": 170.0, | |
| "max": 1417.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 24.84090909090909, | |
| "min": 3.8636363636363638, | |
| "max": 25.763636363636362, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1093.0, | |
| "min": 170.0, | |
| "max": 1417.0, | |
| "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": "1778700362", | |
| "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": "1778700871" | |
| }, | |
| "total": 508.4827428110002, | |
| "count": 1, | |
| "self": 0.4365015590005896, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.03975865300026271, | |
| "count": 1, | |
| "self": 0.03975865300026271 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 508.00648259899936, | |
| "count": 1, | |
| "self": 0.49503490793313176, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.1748767949998182, | |
| "count": 1, | |
| "self": 3.1748767949998182 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 504.25255541806564, | |
| "count": 18192, | |
| "self": 0.47700102509543285, | |
| "children": { | |
| "env_step": { | |
| "total": 373.4581172070334, | |
| "count": 18192, | |
| "self": 292.58761449100075, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 80.57056422500136, | |
| "count": 18192, | |
| "self": 1.5289281770092202, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 79.04163604799214, | |
| "count": 18192, | |
| "self": 79.04163604799214 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.2999384910312983, | |
| "count": 18192, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 505.99181045208707, | |
| "count": 18192, | |
| "is_parallel": true, | |
| "self": 250.41571664910907, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.008521734999703767, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0070976710003378685, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0014240639993658988, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0014240639993658988 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.039941212000030646, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006451419994846219, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0004173970000920235, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0004173970000920235 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.036876187000416394, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.036876187000416394 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0020024860000376066, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00039334400071311393, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0016091419993244926, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0016091419993244926 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 255.576093802978, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 11.277094521195068, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 6.070636697858845, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 6.070636697858845 | |
| }, | |
| "communicator.exchange": { | |
| "total": 196.7772059269132, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 196.7772059269132 | |
| }, | |
| "steps_from_proto": { | |
| "total": 41.45115665701087, | |
| "count": 18191, | |
| "is_parallel": true, | |
| "self": 7.398311148069752, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 34.05284550894112, | |
| "count": 181910, | |
| "is_parallel": true, | |
| "self": 34.05284550894112 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 130.3174371859368, | |
| "count": 18192, | |
| "self": 0.6480465619592906, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 28.61985061297719, | |
| "count": 18192, | |
| "self": 28.195213144977515, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.4246374679996734, | |
| "count": 4, | |
| "self": 0.4246374679996734 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 101.04954001100032, | |
| "count": 90, | |
| "self": 42.75534160198731, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 58.294198409013006, | |
| "count": 4587, | |
| "self": 58.294198409013006 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.0740004654508084e-06, | |
| "count": 1, | |
| "self": 1.0740004654508084e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.08401440400029969, | |
| "count": 1, | |
| "self": 0.0007390969994958141, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.08327530700080388, | |
| "count": 1, | |
| "self": 0.08327530700080388 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |