Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use YAAAAAY/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use YAAAAAY/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="YAAAAAY/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.7318130135536194, | |
| "min": 0.7157538533210754, | |
| "max": 2.8470075130462646, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 7019.55029296875, | |
| "min": 6802.52490234375, | |
| "max": 29062.25390625, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Step.mean": { | |
| "value": 499976.0, | |
| "min": 9952.0, | |
| "max": 499976.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Step.sum": { | |
| "value": 499976.0, | |
| "min": 9952.0, | |
| "max": 499976.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 13.883004188537598, | |
| "min": 0.44007959961891174, | |
| "max": 13.963363647460938, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2846.015869140625, | |
| "min": 85.37544250488281, | |
| "max": 2857.1767578125, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.06883126503870537, | |
| "min": 0.06582636786782721, | |
| "max": 0.07339388498483138, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.3441563251935269, | |
| "min": 0.2634149495827253, | |
| "max": 0.35694785964151377, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.15535483804695746, | |
| "min": 0.12603965677622267, | |
| "max": 0.263959777815377, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.7767741902347873, | |
| "min": 0.5041586271048907, | |
| "max": 1.2917528364588233, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.mean": { | |
| "value": 3.0528989824000023e-06, | |
| "min": 3.0528989824000023e-06, | |
| "max": 0.00029675280108239997, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.sum": { | |
| "value": 1.526449491200001e-05, | |
| "min": 1.526449491200001e-05, | |
| "max": 0.001454064015312, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.mean": { | |
| "value": 0.10101760000000001, | |
| "min": 0.10101760000000001, | |
| "max": 0.19891760000000003, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.sum": { | |
| "value": 0.5050880000000001, | |
| "min": 0.4119904000000001, | |
| "max": 0.9846880000000001, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.Beta.mean": { | |
| "value": 6.077824000000005e-05, | |
| "min": 6.077824000000005e-05, | |
| "max": 0.00494598824, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.Beta.sum": { | |
| "value": 0.00030389120000000027, | |
| "min": 0.00030389120000000027, | |
| "max": 0.024235931200000005, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.mean": { | |
| "value": 199.0, | |
| "min": 199.0, | |
| "max": 199.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.sum": { | |
| "value": 10945.0, | |
| "min": 8756.0, | |
| "max": 10945.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.mean": { | |
| "value": 27.527272727272727, | |
| "min": 4.159090909090909, | |
| "max": 27.57777777777778, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1514.0, | |
| "min": 183.0, | |
| "max": 1514.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 27.527272727272727, | |
| "min": 4.159090909090909, | |
| "max": 27.57777777777778, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1514.0, | |
| "min": 183.0, | |
| "max": 1514.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| }, | |
| "SnowballTarget.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1746529616", | |
| "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": "2.7.0+cu126", | |
| "numpy_version": "1.23.5", | |
| "end_time_seconds": "1746531138" | |
| }, | |
| "total": 1521.4296559050001, | |
| "count": 1, | |
| "self": 0.6471418829996765, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.02278916500017658, | |
| "count": 1, | |
| "self": 0.02278916500017658 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 1520.7597248570003, | |
| "count": 1, | |
| "self": 0.7991563549730927, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.5552240960000745, | |
| "count": 1, | |
| "self": 3.5552240960000745 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 1516.2892561990268, | |
| "count": 45464, | |
| "self": 0.8460767659985322, | |
| "children": { | |
| "env_step": { | |
| "total": 707.3346640440327, | |
| "count": 45464, | |
| "self": 539.4484405659557, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 167.40929125099956, | |
| "count": 45464, | |
| "self": 2.9757321230085836, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 164.43355912799097, | |
| "count": 45464, | |
| "self": 164.43355912799097 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.476932227077441, | |
| "count": 45464, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 1517.956370631003, | |
| "count": 45464, | |
| "is_parallel": true, | |
| "self": 1043.899227301023, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.005421593000164648, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.003998612999794204, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.001422980000370444, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.001422980000370444 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.03564988999983143, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005879850000383158, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.00037606599994433054, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00037606599994433054 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.03284156199993049, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.03284156199993049 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0018442769999182929, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00036646200032919296, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0014778149995891, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.0014778149995891 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 474.0571433299799, | |
| "count": 45463, | |
| "is_parallel": true, | |
| "self": 23.554720656971313, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 13.467158528986602, | |
| "count": 45463, | |
| "is_parallel": true, | |
| "self": 13.467158528986602 | |
| }, | |
| "communicator.exchange": { | |
| "total": 361.8902350760245, | |
| "count": 45463, | |
| "is_parallel": true, | |
| "self": 361.8902350760245 | |
| }, | |
| "steps_from_proto": { | |
| "total": 75.14502906799748, | |
| "count": 45463, | |
| "is_parallel": true, | |
| "self": 13.239886421908295, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 61.90514264608919, | |
| "count": 454630, | |
| "is_parallel": true, | |
| "self": 61.90514264608919 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 808.1085153889956, | |
| "count": 45464, | |
| "self": 0.9415400460220553, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 64.11215596597458, | |
| "count": 45464, | |
| "self": 63.26986769997461, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.8422882659999686, | |
| "count": 10, | |
| "self": 0.8422882659999686 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 743.0548193769989, | |
| "count": 227, | |
| "self": 296.0849816109603, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 446.9698377660386, | |
| "count": 38580, | |
| "self": 446.9698377660386 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.1440001799201127e-06, | |
| "count": 1, | |
| "self": 1.1440001799201127e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.11608706300012273, | |
| "count": 1, | |
| "self": 0.000780648999807454, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.11530641400031527, | |
| "count": 1, | |
| "self": 0.11530641400031527 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |