Instructions to use maxxime/ppo-Huggy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use maxxime/ppo-Huggy with ml-agents:
mlagents-load-from-hf --repo-id="maxxime/ppo-Huggy" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "Huggy.Policy.Entropy.mean": { | |
| "value": 1.4025559425354004, | |
| "min": 1.4025559425354004, | |
| "max": 1.4256845712661743, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.Entropy.sum": { | |
| "value": 71275.0859375, | |
| "min": 68889.3125, | |
| "max": 78097.6171875, | |
| "count": 40 | |
| }, | |
| "Huggy.Environment.EpisodeLength.mean": { | |
| "value": 73.72255192878339, | |
| "min": 70.09463276836158, | |
| "max": 411.4308943089431, | |
| "count": 40 | |
| }, | |
| "Huggy.Environment.EpisodeLength.sum": { | |
| "value": 49689.0, | |
| "min": 48918.0, | |
| "max": 50606.0, | |
| "count": 40 | |
| }, | |
| "Huggy.Step.mean": { | |
| "value": 1999703.0, | |
| "min": 49980.0, | |
| "max": 1999703.0, | |
| "count": 40 | |
| }, | |
| "Huggy.Step.sum": { | |
| "value": 1999703.0, | |
| "min": 49980.0, | |
| "max": 1999703.0, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 2.4997501373291016, | |
| "min": 0.055482398718595505, | |
| "max": 2.509092330932617, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 1684.8316650390625, | |
| "min": 6.768852710723877, | |
| "max": 1751.2840576171875, | |
| "count": 40 | |
| }, | |
| "Huggy.Environment.CumulativeReward.mean": { | |
| "value": 3.8887302828648678, | |
| "min": 1.8836875086436506, | |
| "max": 4.038821320364795, | |
| "count": 40 | |
| }, | |
| "Huggy.Environment.CumulativeReward.sum": { | |
| "value": 2621.004210650921, | |
| "min": 229.80987605452538, | |
| "max": 2728.1859632134438, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.ExtrinsicReward.mean": { | |
| "value": 3.8887302828648678, | |
| "min": 1.8836875086436506, | |
| "max": 4.038821320364795, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.ExtrinsicReward.sum": { | |
| "value": 2621.004210650921, | |
| "min": 229.80987605452538, | |
| "max": 2728.1859632134438, | |
| "count": 40 | |
| }, | |
| "Huggy.Losses.PolicyLoss.mean": { | |
| "value": 0.0178359689268594, | |
| "min": 0.014284627433031952, | |
| "max": 0.021581742768830736, | |
| "count": 40 | |
| }, | |
| "Huggy.Losses.PolicyLoss.sum": { | |
| "value": 0.0535079067805782, | |
| "min": 0.029162770373538177, | |
| "max": 0.056861924430995706, | |
| "count": 40 | |
| }, | |
| "Huggy.Losses.ValueLoss.mean": { | |
| "value": 0.06249354018105401, | |
| "min": 0.02343791254485647, | |
| "max": 0.06249354018105401, | |
| "count": 40 | |
| }, | |
| "Huggy.Losses.ValueLoss.sum": { | |
| "value": 0.18748062054316203, | |
| "min": 0.04687582508971294, | |
| "max": 0.18748062054316203, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.LearningRate.mean": { | |
| "value": 3.510848829750006e-06, | |
| "min": 3.510848829750006e-06, | |
| "max": 0.000295258426580525, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.LearningRate.sum": { | |
| "value": 1.0532546489250019e-05, | |
| "min": 1.0532546489250019e-05, | |
| "max": 0.0008438953687015498, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.Epsilon.mean": { | |
| "value": 0.10117025000000002, | |
| "min": 0.10117025000000002, | |
| "max": 0.198419475, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.Epsilon.sum": { | |
| "value": 0.30351075000000005, | |
| "min": 0.20746774999999998, | |
| "max": 0.58129845, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.Beta.mean": { | |
| "value": 6.839547500000013e-05, | |
| "min": 6.839547500000013e-05, | |
| "max": 0.004921131802500001, | |
| "count": 40 | |
| }, | |
| "Huggy.Policy.Beta.sum": { | |
| "value": 0.0002051864250000004, | |
| "min": 0.0002051864250000004, | |
| "max": 0.014066792655, | |
| "count": 40 | |
| }, | |
| "Huggy.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 40 | |
| }, | |
| "Huggy.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 40 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1785328975", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", | |
| "command_line_arguments": "/usr/local/bin/mlagents-learn /content/ml-agents/config/ppo/Huggy.yaml --env=/content/ml-agents/trained-envs-executables/linux/Huggy/Huggy --run-id=Huggy2 --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": "1785331641" | |
| }, | |
| "total": 2665.916633365, | |
| "count": 1, | |
| "self": 0.4933710299997074, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.024903248000100575, | |
| "count": 1, | |
| "self": 0.024903248000100575 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 2665.3983590870002, | |
| "count": 1, | |
| "self": 4.409853399834901, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.613674781999862, | |
| "count": 1, | |
| "self": 3.613674781999862 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 2657.2674940041657, | |
| "count": 233446, | |
| "self": 4.507280367210569, | |
| "children": { | |
| "env_step": { | |
| "total": 2171.68142338804, | |
| "count": 233446, | |
| "self": 1739.9218229251057, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 429.01582793489365, | |
| "count": 233446, | |
| "self": 16.01228618379173, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 413.0035417511019, | |
| "count": 223002, | |
| "self": 413.0035417511019 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 2.7437725280406084, | |
| "count": 233446, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 2652.6210842669743, | |
| "count": 233446, | |
| "is_parallel": true, | |
| "self": 1249.0768633550103, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0008046540001487301, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00022453900010077632, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0005801150000479538, | |
| "count": 2, | |
| "is_parallel": true, | |
| "self": 0.0005801150000479538 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.06077628000002733, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0002785639999274281, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.000221680000095148, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.000221680000095148 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.05965440699992541, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.05965440699992541 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0006216290000793379, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00016642400009914127, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0004552049999801966, | |
| "count": 2, | |
| "is_parallel": true, | |
| "self": 0.0004552049999801966 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 1403.544220911964, | |
| "count": 233445, | |
| "is_parallel": true, | |
| "self": 38.2420198849245, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 84.26195031197426, | |
| "count": 233445, | |
| "is_parallel": true, | |
| "self": 84.26195031197426 | |
| }, | |
| "communicator.exchange": { | |
| "total": 1189.8613720979624, | |
| "count": 233445, | |
| "is_parallel": true, | |
| "self": 1189.8613720979624 | |
| }, | |
| "steps_from_proto": { | |
| "total": 91.17887861710278, | |
| "count": 233445, | |
| "is_parallel": true, | |
| "self": 32.97409111504089, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 58.20478750206189, | |
| "count": 466890, | |
| "is_parallel": true, | |
| "self": 58.20478750206189 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 481.07879024891486, | |
| "count": 233446, | |
| "self": 6.686015752890626, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 164.96247113902314, | |
| "count": 233446, | |
| "self": 163.87668697002414, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 1.0857841689989982, | |
| "count": 10, | |
| "self": 1.0857841689989982 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 309.4303033570011, | |
| "count": 97, | |
| "self": 246.34661212301762, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 63.08369123398347, | |
| "count": 2910, | |
| "self": 63.08369123398347 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.109999155043624e-07, | |
| "count": 1, | |
| "self": 9.109999155043624e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.10733599000013783, | |
| "count": 1, | |
| "self": 0.0013120159992467961, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.10602397400089103, | |
| "count": 1, | |
| "self": 0.10602397400089103 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |