Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use guydebruyn/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use guydebruyn/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="guydebruyn/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.9737901091575623, | |
| "min": 0.9679049253463745, | |
| "max": 2.8732645511627197, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 9329.8828125, | |
| "min": 9329.8828125, | |
| "max": 29488.314453125, | |
| "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": 12.657111167907715, | |
| "min": 0.28411197662353516, | |
| "max": 12.657111167907715, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2468.13671875, | |
| "min": 55.11772155761719, | |
| "max": 2557.6474609375, | |
| "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.Losses.PolicyLoss.mean": { | |
| "value": 0.07104201344932959, | |
| "min": 0.0630872000388491, | |
| "max": 0.07293436894942001, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.28416805379731835, | |
| "min": 0.25353572402131175, | |
| "max": 0.36467184474710007, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.20374962899322605, | |
| "min": 0.12481466097090686, | |
| "max": 0.27050723354606065, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.8149985159729042, | |
| "min": 0.49925864388362745, | |
| "max": 1.3163851704083238, | |
| "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.CumulativeReward.mean": { | |
| "value": 25.136363636363637, | |
| "min": 3.477272727272727, | |
| "max": 25.272727272727273, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1106.0, | |
| "min": 153.0, | |
| "max": 1372.0, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 25.136363636363637, | |
| "min": 3.477272727272727, | |
| "max": 25.272727272727273, | |
| "count": 20 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1106.0, | |
| "min": 153.0, | |
| "max": 1372.0, | |
| "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": "1694963896", | |
| "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]", | |
| "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": "0.31.0.dev0", | |
| "mlagents_envs_version": "0.31.0.dev0", | |
| "communication_protocol_version": "1.5.0", | |
| "pytorch_version": "1.11.0+cu102", | |
| "numpy_version": "1.21.2", | |
| "end_time_seconds": "1694964454" | |
| }, | |
| "total": 558.4923459660001, | |
| "count": 1, | |
| "self": 0.533858115000271, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.07056028399995284, | |
| "count": 1, | |
| "self": 0.07056028399995284 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 557.8879275669999, | |
| "count": 1, | |
| "self": 0.8039140180109143, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 2.3080992299999252, | |
| "count": 1, | |
| "self": 2.3080992299999252 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 554.622039545989, | |
| "count": 18205, | |
| "self": 0.36290860699330096, | |
| "children": { | |
| "env_step": { | |
| "total": 554.2591309389957, | |
| "count": 18205, | |
| "self": 454.08408901299606, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 99.78727591400832, | |
| "count": 18205, | |
| "self": 2.231424155008881, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 97.55585175899944, | |
| "count": 18205, | |
| "self": 97.55585175899944 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.3877660119912889, | |
| "count": 18205, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 555.9196141590018, | |
| "count": 18205, | |
| "is_parallel": true, | |
| "self": 243.95719776399483, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.008302387000071576, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0052885770002149, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.003013809999856676, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.003013809999856676 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.08767558200008807, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0007213000000092507, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0005114180000873603, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005114180000873603 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.08212915500007512, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.08212915500007512 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.004313708999916344, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0015932969997720647, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.002720412000144279, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.002720412000144279 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 311.9624163950069, | |
| "count": 18204, | |
| "is_parallel": true, | |
| "self": 12.769795965001094, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 6.821478863002312, | |
| "count": 18204, | |
| "is_parallel": true, | |
| "self": 6.821478863002312 | |
| }, | |
| "communicator.exchange": { | |
| "total": 247.64608173300394, | |
| "count": 18204, | |
| "is_parallel": true, | |
| "self": 247.64608173300394 | |
| }, | |
| "steps_from_proto": { | |
| "total": 44.72505983399958, | |
| "count": 18204, | |
| "is_parallel": true, | |
| "self": 8.55395590603689, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 36.17110392796269, | |
| "count": 182040, | |
| "is_parallel": true, | |
| "self": 36.17110392796269 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 0.00016544899995096785, | |
| "count": 1, | |
| "self": 0.00016544899995096785, | |
| "children": { | |
| "thread_root": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "trainer_advance": { | |
| "total": 550.2665445499196, | |
| "count": 521578, | |
| "is_parallel": true, | |
| "self": 11.998846715865966, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 295.84530790105316, | |
| "count": 521578, | |
| "is_parallel": true, | |
| "self": 293.62564882705306, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 2.2196590740001056, | |
| "count": 4, | |
| "is_parallel": true, | |
| "self": 2.2196590740001056 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 242.42238993300043, | |
| "count": 90, | |
| "is_parallel": true, | |
| "self": 96.04844476800565, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 146.37394516499478, | |
| "count": 4584, | |
| "is_parallel": true, | |
| "self": 146.37394516499478 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.1537093240001468, | |
| "count": 1, | |
| "self": 0.0010358170002291445, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.15267350699991766, | |
| "count": 1, | |
| "self": 0.15267350699991766 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |