Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Hugdir/Pyramids-PPO-RND-Success with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Hugdir/Pyramids-PPO-RND-Success with ml-agents:
mlagents-load-from-hf --repo-id="Hugdir/Pyramids-PPO-RND-Success" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "Pyramids.Policy.Entropy.mean": { | |
| "value": 0.23843881487846375, | |
| "min": 0.23753118515014648, | |
| "max": 1.4292476177215576, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.Entropy.sum": { | |
| "value": 7134.08935546875, | |
| "min": 7038.52392578125, | |
| "max": 43357.65625, | |
| "count": 52 | |
| }, | |
| "Pyramids.Step.mean": { | |
| "value": 1559896.0, | |
| "min": 29952.0, | |
| "max": 1559896.0, | |
| "count": 52 | |
| }, | |
| "Pyramids.Step.sum": { | |
| "value": 1559896.0, | |
| "min": 29952.0, | |
| "max": 1559896.0, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 0.8326560258865356, | |
| "min": -0.09205543994903564, | |
| "max": 0.8420236706733704, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 248.13150024414062, | |
| "min": -22.185361862182617, | |
| "max": 257.65924072265625, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.RndValueEstimate.mean": { | |
| "value": 0.010321666486561298, | |
| "min": -0.00941386166960001, | |
| "max": 0.30597904324531555, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.RndValueEstimate.sum": { | |
| "value": 3.0758566856384277, | |
| "min": -2.607639789581299, | |
| "max": 73.74095153808594, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.mean": { | |
| "value": 0.07147382796156357, | |
| "min": 0.06486261799195224, | |
| "max": 0.07377905931142677, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.sum": { | |
| "value": 1.00063359146189, | |
| "min": 0.48229706238743836, | |
| "max": 1.1066858896714016, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.ValueLoss.mean": { | |
| "value": 0.01327213931332097, | |
| "min": 0.00015669237809535664, | |
| "max": 0.0166132790467921, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.ValueLoss.sum": { | |
| "value": 0.1858099503864936, | |
| "min": 0.0020370009152396364, | |
| "max": 0.2491991857018815, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.LearningRate.mean": { | |
| "value": 0.00014549105864585473, | |
| "min": 0.00014549105864585473, | |
| "max": 0.00029838354339596195, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.LearningRate.sum": { | |
| "value": 0.0020368748210419663, | |
| "min": 0.0020368748210419663, | |
| "max": 0.004027387257537632, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.Epsilon.mean": { | |
| "value": 0.1484970023809524, | |
| "min": 0.1484970023809524, | |
| "max": 0.19946118095238097, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.Epsilon.sum": { | |
| "value": 2.0789580333333335, | |
| "min": 1.3962282666666668, | |
| "max": 2.842462366666667, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.Beta.mean": { | |
| "value": 0.004854850537857143, | |
| "min": 0.004854850537857143, | |
| "max": 0.009946171977142856, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.Beta.sum": { | |
| "value": 0.06796790753000001, | |
| "min": 0.06796790753000001, | |
| "max": 0.13426199043, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.RNDLoss.mean": { | |
| "value": 0.01016409695148468, | |
| "min": 0.009826130233705044, | |
| "max": 0.469675749540329, | |
| "count": 52 | |
| }, | |
| "Pyramids.Losses.RNDLoss.sum": { | |
| "value": 0.14229735732078552, | |
| "min": 0.13936378061771393, | |
| "max": 3.2877302169799805, | |
| "count": 52 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.mean": { | |
| "value": 230.04724409448818, | |
| "min": 220.32575757575756, | |
| "max": 999.0, | |
| "count": 52 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.sum": { | |
| "value": 29216.0, | |
| "min": 15984.0, | |
| "max": 32708.0, | |
| "count": 52 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.mean": { | |
| "value": 1.7541999853267445, | |
| "min": -1.0000000521540642, | |
| "max": 1.7697099173114499, | |
| "count": 52 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.sum": { | |
| "value": 222.78339813649654, | |
| "min": -30.99380160868168, | |
| "max": 235.2053981423378, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.mean": { | |
| "value": 1.7541999853267445, | |
| "min": -1.0000000521540642, | |
| "max": 1.7697099173114499, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.sum": { | |
| "value": 222.78339813649654, | |
| "min": -30.99380160868168, | |
| "max": 235.2053981423378, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.RndReward.mean": { | |
| "value": 0.024360329406096472, | |
| "min": 0.023964540308591544, | |
| "max": 9.351730020716786, | |
| "count": 52 | |
| }, | |
| "Pyramids.Policy.RndReward.sum": { | |
| "value": 3.093761834574252, | |
| "min": 3.08454118440568, | |
| "max": 149.62768033146858, | |
| "count": 52 | |
| }, | |
| "Pyramids.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 52 | |
| }, | |
| "Pyramids.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 52 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1790469955", | |
| "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", | |
| "command_line_arguments": "/usr/local/miniconda/envs/mlagents/bin/mlagents-learn /content/ml-agents/config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --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": "1790473716" | |
| }, | |
| "total": 3761.398091067, | |
| "count": 1, | |
| "self": 0.4592522090001694, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.022923066999965158, | |
| "count": 1, | |
| "self": 0.022923066999965158 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 3760.9159157910003, | |
| "count": 1, | |
| "self": 1.9284425549435582, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 3.4518364200000633, | |
| "count": 1, | |
| "self": 3.4518364200000633 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 3755.3513909860562, | |
| "count": 101305, | |
| "self": 2.0638578332041106, | |
| "children": { | |
| "env_step": { | |
| "total": 2801.4038006209926, | |
| "count": 101305, | |
| "self": 2577.6385888391824, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 222.5810634649638, | |
| "count": 101305, | |
| "self": 7.046059270903925, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 215.53500419405987, | |
| "count": 98044, | |
| "self": 215.53500419405987 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 1.1841483168466311, | |
| "count": 101304, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 3751.5966338229764, | |
| "count": 101304, | |
| "is_parallel": true, | |
| "self": 1349.8627890279322, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.004818004000071596, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0035155789994405495, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0013024250006310467, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.0013024250006310467 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.05150600199999644, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0006052000001091073, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0005078389999653155, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005078389999653155 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.04876108500002374, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.04876108500002374 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.001631877999898279, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0003466269997716154, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0012852510001266637, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.0012852510001266637 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 2401.733844795044, | |
| "count": 101303, | |
| "is_parallel": true, | |
| "self": 52.23696876606664, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 34.62122753802191, | |
| "count": 101303, | |
| "is_parallel": true, | |
| "self": 34.62122753802191 | |
| }, | |
| "communicator.exchange": { | |
| "total": 2149.950263898044, | |
| "count": 101303, | |
| "is_parallel": true, | |
| "self": 2149.950263898044 | |
| }, | |
| "steps_from_proto": { | |
| "total": 164.92538459291177, | |
| "count": 101303, | |
| "is_parallel": true, | |
| "self": 34.348601567288824, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 130.57678302562294, | |
| "count": 810424, | |
| "is_parallel": true, | |
| "self": 130.57678302562294 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 951.8837325318596, | |
| "count": 101304, | |
| "self": 3.8505665268289704, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 173.1932540710327, | |
| "count": 101304, | |
| "self": 172.84371863903243, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.34953543200026616, | |
| "count": 3, | |
| "self": 0.34953543200026616 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 774.8399119339979, | |
| "count": 721, | |
| "self": 413.7242994168921, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 361.1156125171058, | |
| "count": 35757, | |
| "self": 361.1156125171058 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 1.4269999155658297e-06, | |
| "count": 1, | |
| "self": 1.4269999155658297e-06 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.1842444030007755, | |
| "count": 1, | |
| "self": 0.0015035500009616953, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.1827408529998138, | |
| "count": 1, | |
| "self": 0.1827408529998138 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |