Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use vicsonsam/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use vicsonsam/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="vicsonsam/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "SnowballTarget.Policy.Entropy.mean": { | |
| "value": 0.87007075548172, | |
| "min": 0.8571820855140686, | |
| "max": 2.665627956390381, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.Entropy.sum": { | |
| "value": 8269.15234375, | |
| "min": 8269.15234375, | |
| "max": 23946.328125, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Step.mean": { | |
| "value": 199984.0, | |
| "min": 19992.0, | |
| "max": 199984.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Step.sum": { | |
| "value": 199984.0, | |
| "min": 19992.0, | |
| "max": 199984.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 13.028005599975586, | |
| "min": 1.848665475845337, | |
| "max": 13.028005599975586, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 2540.461181640625, | |
| "min": 249.56983947753906, | |
| "max": 2646.088623046875, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.mean": { | |
| "value": 0.07174146862006656, | |
| "min": 0.06283611220495752, | |
| "max": 0.07404320597547043, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Losses.PolicyLoss.sum": { | |
| "value": 0.2869658744802662, | |
| "min": 0.20686593932061093, | |
| "max": 0.36268202800263183, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.mean": { | |
| "value": 0.2055351081139901, | |
| "min": 0.1978417685803245, | |
| "max": 0.2898271525753479, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Losses.ValueLoss.sum": { | |
| "value": 0.8221404324559604, | |
| "min": 0.7168980026617646, | |
| "max": 1.3873297951969448, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.mean": { | |
| "value": 8.082097306000005e-06, | |
| "min": 8.082097306000005e-06, | |
| "max": 0.000273732008756, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.LearningRate.sum": { | |
| "value": 3.232838922400002e-05, | |
| "min": 3.232838922400002e-05, | |
| "max": 0.00123666008778, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.mean": { | |
| "value": 0.10269400000000001, | |
| "min": 0.10269400000000001, | |
| "max": 0.191244, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.Epsilon.sum": { | |
| "value": 0.41077600000000003, | |
| "min": 0.41077600000000003, | |
| "max": 0.91222, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.Beta.mean": { | |
| "value": 0.0001444306000000001, | |
| "min": 0.0001444306000000001, | |
| "max": 0.0045630756, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.Beta.sum": { | |
| "value": 0.0005777224000000004, | |
| "min": 0.0005777224000000004, | |
| "max": 0.020619778000000002, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.mean": { | |
| "value": 199.0, | |
| "min": 199.0, | |
| "max": 199.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Environment.EpisodeLength.sum": { | |
| "value": 8756.0, | |
| "min": 6567.0, | |
| "max": 10945.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.mean": { | |
| "value": 25.40909090909091, | |
| "min": 7.424242424242424, | |
| "max": 25.795454545454547, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Environment.CumulativeReward.sum": { | |
| "value": 1118.0, | |
| "min": 245.0, | |
| "max": 1418.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.mean": { | |
| "value": 25.40909090909091, | |
| "min": 7.424242424242424, | |
| "max": 25.795454545454547, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.Policy.ExtrinsicReward.sum": { | |
| "value": 1118.0, | |
| "min": 245.0, | |
| "max": 1418.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 19 | |
| }, | |
| "SnowballTarget.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 19 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1784330101", | |
| "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 --resume", | |
| "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": "1784330564" | |
| }, | |
| "total": 463.261596154, | |
| "count": 1, | |
| "self": 0.43388247700022475, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.025127798000085022, | |
| "count": 1, | |
| "self": 0.025127798000085022 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 462.8025858789997, | |
| "count": 1, | |
| "self": 0.43135089100542245, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 2.0722338129999116, | |
| "count": 1, | |
| "self": 2.0722338129999116 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 460.2165094319944, | |
| "count": 16992, | |
| "self": 0.43877945595932033, | |
| "children": { | |
| "env_step": { | |
| "total": 342.1979538540031, | |
| "count": 16992, | |
| "self": 267.7088001920565, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 74.21992059490958, | |
| "count": 16992, | |
| "self": 1.3496146918960221, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 72.87030590301356, | |
| "count": 16992, | |
| "self": 72.87030590301356 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.2692330670370211, | |
| "count": 16992, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 460.8201482589843, | |
| "count": 16992, | |
| "is_parallel": true, | |
| "self": 226.67615600897443, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0024085670002023107, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0007847170004424697, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.001623849999759841, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.001623849999759841 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.041948340000089956, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006335369998851093, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0004519519998211763, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0004519519998211763 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.03883406900013142, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.03883406900013142 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0020287820002522494, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00037473500105988933, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.00165404699919236, | |
| "count": 10, | |
| "is_parallel": true, | |
| "self": 0.00165404699919236 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 234.1439922500099, | |
| "count": 16991, | |
| "is_parallel": true, | |
| "self": 10.35009592603592, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 5.613845507002679, | |
| "count": 16991, | |
| "is_parallel": true, | |
| "self": 5.613845507002679 | |
| }, | |
| "communicator.exchange": { | |
| "total": 180.1272439339955, | |
| "count": 16991, | |
| "is_parallel": true, | |
| "self": 180.1272439339955 | |
| }, | |
| "steps_from_proto": { | |
| "total": 38.0528068829758, | |
| "count": 16991, | |
| "is_parallel": true, | |
| "self": 6.839617024669678, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 31.213189858306123, | |
| "count": 169910, | |
| "is_parallel": true, | |
| "self": 31.213189858306123 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 117.57977612203194, | |
| "count": 16992, | |
| "self": 0.5312661341417879, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 24.465700950893734, | |
| "count": 16992, | |
| "self": 24.03762795489456, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.42807299599917314, | |
| "count": 4, | |
| "self": 0.42807299599917314 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 92.58280903699642, | |
| "count": 84, | |
| "self": 37.12785239201821, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 55.45495664497821, | |
| "count": 4281, | |
| "self": 55.45495664497821 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.1060001270379871e-06, | |
| "count": 1, | |
| "self": 1.1060001270379871e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.08249063699986436, | |
| "count": 1, | |
| "self": 0.000953740000113612, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.08153689699975075, | |
| "count": 1, | |
| "self": 0.08153689699975075 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |