Reinforcement Learning
ml-agents
ONNX
deep-reinforcement-learning
Pyramids
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use rondahahda/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rondahahda/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="rondahahda/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Download training.log from rondahahda/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 3.99 kB
-
https://huggingface.co/rondahahda/ppo-Pyramids/resolve/main/training.log
- Command line
-
hf download hf://rondahahda/ppo-Pyramids/training.log
-
curl -L -o training.log https://huggingface.co/rondahahda/ppo-Pyramids/resolve/main/training.log
3.99 kB
| β β | |
| βββ¬ββ‘ βββ¬ββ | |
| βββ¬ββββββ β¬ββββββ¬β | |
| ββ¬ββββββ¬β ββ¬βββββββ βββ | |
| β¬β¬β¬β¬ββββ¦β ββ¬ββββ£β£β£β¬ ββ£β£β¬ ββ£β£β£ βββ ββ£β£ | |
| β¬β¬β¬β¬β¬β¬β¬β¬βββ¬ββββ¬βͺβββ£β£β£β£β£β£β£β¬ ββ£β£β¬ ββ£β£β£ ββ£β£βββ£β£β£β β£β£β£ β£β£β£β£β£β£ ββ£β£β β£β£β£ | |
| β¬β¬β¬β¬β ββ¬β¬β¬β¬βββ£β£β£ββ β«β£β£β£β¬ ββ£β£β¬ ββ£β£β£ ββ£β£β£β ββ£β£β£ β£β£β£ βββ£β£ββ β«β£β£ ββ£β£ | |
| β¬β¬β¬β¬β ββ¬β¬β£β£ β«β£β£β£β¬ ββ£β£β¬ ββ£β£β£ ββ£β£β¬ β£β£β£ β£β£β£ ββ£β£ β£β£β£ββ£β£β | |
| β¬β¬β¬β β¬β¬β£β£ βββ£β£β¬ ββ£β£β£βββββ£β£β£β ββ£β£β¬ β£β£β£ β£β£β£ ββ£β£β¦β β£β£β£β£β£ | |
| β ββ¦β β¬β¬β£β£ ββββ βββ£β£β£β£ββ ββββ βββ βββ ββ£β£β£ ββ£β£β£ | |
| β©β¬β¬β¬β¬β¬β¬β¦β¦β¬β¬β£β£ββ£β£β£β£β£β£β£β β«β£β£β£β£ | |
| ββ¬β¬β¬β¬β¬β¬β¬β£β£β£β£β£β£ββ | |
| ββ¬β¬β¬β£β£β£β | |
| β | |
| Version information: | |
| ml-agents: 1.2.0.dev0, | |
| ml-agents-envs: 1.2.0.dev0, | |
| Communicator API: 1.5.0, | |
| PyTorch: 2.2.2+cu121 | |
| [INFO] Connected to Unity environment with package version 2.2.1-exp.1 and communication version 1.5.0 | |
| [INFO] Connected new brain: Pyramids?team=0 | |
| [INFO] Hyperparameters for behavior name Pyramids: | |
| trainer_type: ppo | |
| hyperparameters: | |
| batch_size: 128 | |
| buffer_size: 2048 | |
| learning_rate: 0.0003 | |
| beta: 0.01 | |
| epsilon: 0.2 | |
| lambd: 0.95 | |
| num_epoch: 3 | |
| shared_critic: False | |
| learning_rate_schedule: linear | |
| beta_schedule: linear | |
| epsilon_schedule: linear | |
| checkpoint_interval: 500000 | |
| network_settings: | |
| normalize: False | |
| hidden_units: 512 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| memory: None | |
| goal_conditioning_type: hyper | |
| deterministic: False | |
| reward_signals: | |
| extrinsic: | |
| gamma: 0.99 | |
| strength: 1.0 | |
| network_settings: | |
| normalize: False | |
| hidden_units: 128 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| memory: None | |
| goal_conditioning_type: hyper | |
| deterministic: False | |
| rnd: | |
| gamma: 0.99 | |
| strength: 0.01 | |
| network_settings: | |
| normalize: False | |
| hidden_units: 64 | |
| num_layers: 3 | |
| vis_encode_type: simple | |
| memory: None | |
| goal_conditioning_type: hyper | |
| deterministic: False | |
| learning_rate: 0.0001 | |
| encoding_size: None | |
| init_path: None | |
| keep_checkpoints: 5 | |
| even_checkpoints: False | |
| max_steps: 1000000 | |
| time_horizon: 128 | |
| summary_freq: 10000 | |
| threaded: False | |
| self_play: None | |
| behavioral_cloning: None | |
| [INFO] Pyramids. Step: 10000. Time Elapsed: 79.680 s. No episode was completed since last summary. Training. | |
| [INFO] Pyramids. Step: 20000. Time Elapsed: 154.731 s. Mean Reward: -1.000. Std of Reward: 0.000. Training. | |
| [INFO] Pyramids. Step: 30000. Time Elapsed: 264.587 s. No episode was completed since last summary. Training. | |
| [INFO] Pyramids. Step: 40000. Time Elapsed: 382.006 s. Mean Reward: -1.000. Std of Reward: 0.000. Training. | |
| [INFO] Pyramids. Step: 50000. Time Elapsed: 516.293 s. Mean Reward: -1.000. Std of Reward: 0.000. Training. | |
| [INFO] Pyramids. Step: 60000. Time Elapsed: 708.649 s. Mean Reward: 1.266. Std of Reward: 0.000. Training. | |
| [INFO] Learning was interrupted. Please wait while the graph is generated. | |
| [INFO] Exported results/Pyramids-course-20260925-v2/Pyramids/Pyramids-63991.onnx | |
| [INFO] Copied results/Pyramids-course-20260925-v2/Pyramids/Pyramids-63991.onnx to results/Pyramids-course-20260925-v2/Pyramids.onnx. | |