Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use Boxnixta/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Boxnixta/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="Boxnixta/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.9359989762306213, | |
| "min": 0.9359989762306213, | |
| "max": 2.8769099712371826, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 8895.734375, | |
| "min": 8895.734375, | |
| "max": 29367.49609375, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Step.mean": { | |
| "value": 249944.0, | |
| "min": 9952.0, | |
| "max": 249944.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Step.sum": { | |
| "value": 249944.0, | |
| "min": 9952.0, | |
| "max": 249944.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 13.133615493774414, | |
| "min": 0.11970428377389908, | |
| "max": 13.133615493774414, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2547.92138671875, | |
| "min": 23.222631454467773, | |
| "max": 2663.593017578125, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.mean": { | |
| "value": 199.0, | |
| "min": 199.0, | |
| "max": 199.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.sum": { | |
| "value": 8756.0, | |
| "min": 8756.0, | |
| "max": 10945.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.mean": { | |
| "value": 26.25, | |
| "min": 3.0681818181818183, | |
| "max": 26.25, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1155.0, | |
| "min": 135.0, | |
| "max": 1440.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 26.25, | |
| "min": 3.0681818181818183, | |
| "max": 26.25, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1155.0, | |
| "min": 135.0, | |
| "max": 1440.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.052930760893785324, | |
| "min": 0.041167680390612485, | |
| "max": 0.060937015371867645, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.15879228268135598, | |
| "min": 0.08233536078122497, | |
| "max": 0.16516317418584853, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.19463962077818533, | |
| "min": 0.10332053743509784, | |
| "max": 0.3163214908498857, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.583918862334556, | |
| "min": 0.20664107487019567, | |
| "max": 0.9489644725496571, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.mean": { | |
| "value": 7.0272982432000126e-06, | |
| "min": 7.0272982432000126e-06, | |
| "max": 0.0003912704021824, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.sum": { | |
| "value": 2.1081894729600038e-05, | |
| "min": 2.1081894729600038e-05, | |
| "max": 0.0011298816175296003, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.mean": { | |
| "value": 0.10175680000000002, | |
| "min": 0.10175680000000002, | |
| "max": 0.19781760000000004, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.sum": { | |
| "value": 0.30527040000000005, | |
| "min": 0.21963520000000003, | |
| "max": 0.5824704, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.Beta.mean": { | |
| "value": 9.766432000000014e-05, | |
| "min": 9.766432000000014e-05, | |
| "max": 0.004891098240000001, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.Policy.Beta.sum": { | |
| "value": 0.0002929929600000004, | |
| "min": 0.0002929929600000004, | |
| "max": 0.01412527296, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 25 | |
| }, | |
| "SnowballTarget.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 25 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1781936674", | |
| "python_version": "3.10.11 (main, May 16 2023, 00:28:57) [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=SnowballTarget2 --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": "1781937249" | |
| }, | |
| "total": 574.758155145, | |
| "count": 1, | |
| "self": 0.4831699740000204, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.036426703000017824, | |
| "count": 1, | |
| "self": 0.036426703000017824 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 574.2385584680001, | |
| "count": 1, | |
| "self": 0.5108760719940619, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.278190570999982, | |
| "count": 1, | |
| "self": 3.278190570999982 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 570.3670110620061, | |
| "count": 22728, | |
| "self": 0.5123257180132441, | |
| "children": { | |
| "env_step": { | |
| "total": 443.1102792280019, | |
| "count": 22728, | |
| "self": 346.2221604409905, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 96.58980176199861, | |
| "count": 22728, | |
| "self": 1.7276849489958863, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 94.86211681300273, | |
| "count": 22728, | |
| "self": 94.86211681300273 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.2983170250128069, | |
| "count": 22728, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 572.1520919579938, | |
| "count": 22728, | |
| "is_parallel": true, | |
| "self": 267.82451410701253, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.005472177000001466, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.003380646000039178, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0020915309999622878, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0020915309999622878 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.04186392099995828, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006247979999898234, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0004850980000128402, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0004850980000128402 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.03849745799999482, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.03849745799999482 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0022565669999607962, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00045256199990717505, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0018040050000536212, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0018040050000536212 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 304.32757785098124, | |
| "count": 22727, | |
| "is_parallel": true, | |
| "self": 13.975937304995455, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 7.560412337992204, | |
| "count": 22727, | |
| "is_parallel": true, | |
| "self": 7.560412337992204 | |
| }, | |
| "communicator.exchange": { | |
| "total": 231.96577029800045, | |
| "count": 22727, | |
| "is_parallel": true, | |
| "self": 231.96577029800045 | |
| }, | |
| "steps_from_proto": { | |
| "total": 50.82545790999313, | |
| "count": 22727, | |
| "is_parallel": true, | |
| "self": 8.682821108958535, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 42.1426368010346, | |
| "count": 227270, | |
| "is_parallel": true, | |
| "self": 42.1426368010346 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 126.74440611599096, | |
| "count": 22728, | |
| "self": 0.5878770179891717, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 32.12302175400197, | |
| "count": 22728, | |
| "self": 31.57767556300206, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.5453461909999078, | |
| "count": 5, | |
| "self": 0.5453461909999078 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 94.03350734399982, | |
| "count": 68, | |
| "self": 50.20795517299854, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 43.82555217100128, | |
| "count": 3195, | |
| "self": 43.82555217100128 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.1199999789823778e-06, | |
| "count": 1, | |
| "self": 1.1199999789823778e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.08247964299994237, | |
| "count": 1, | |
| "self": 0.0007680149999487185, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.08171162799999365, | |
| "count": 1, | |
| "self": 0.08171162799999365 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |