Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-PushBlock
Instructions to use danieladejumo/MLAgents-PushBlock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use danieladejumo/MLAgents-PushBlock with ml-agents:
mlagents-load-from-hf --repo-id="danieladejumo/MLAgents-PushBlock" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download configuration.yaml from danieladejumo/MLAgents-PushBlock: direct link, hf CLI and curl.
- Browser
- Download file 1.76 kB
-
https://huggingface.co/danieladejumo/MLAgents-PushBlock/resolve/main/configuration.yaml
- Command line
-
hf download hf://danieladejumo/MLAgents-PushBlock/configuration.yaml
-
curl -L -o configuration.yaml https://huggingface.co/danieladejumo/MLAgents-PushBlock/resolve/main/configuration.yaml
1.76 kB
| default_settings: null | |
| behaviors: | |
| PushBlock: | |
| trainer_type: sac | |
| hyperparameters: | |
| learning_rate: 0.0003 | |
| learning_rate_schedule: constant | |
| batch_size: 128 | |
| buffer_size: 50000 | |
| buffer_init_steps: 0 | |
| tau: 0.005 | |
| steps_per_update: 10.0 | |
| save_replay_buffer: false | |
| init_entcoef: 0.05 | |
| reward_signal_steps_per_update: 10.0 | |
| network_settings: | |
| normalize: false | |
| hidden_units: 256 | |
| num_layers: 2 | |
| vis_encode_type: simple | |
| memory: null | |
| 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: null | |
| goal_conditioning_type: hyper | |
| deterministic: false | |
| init_path: null | |
| keep_checkpoints: 5 | |
| checkpoint_interval: 500000 | |
| max_steps: 1000000 | |
| time_horizon: 64 | |
| summary_freq: 100000 | |
| threaded: false | |
| self_play: null | |
| behavioral_cloning: null | |
| env_settings: | |
| env_path: ./trained-envs-executables/linux/PushBlock/PushBlock | |
| env_args: null | |
| base_port: 5005 | |
| num_envs: 1 | |
| num_areas: 1 | |
| seed: -1 | |
| max_lifetime_restarts: 10 | |
| restarts_rate_limit_n: 1 | |
| restarts_rate_limit_period_s: 60 | |
| engine_settings: | |
| width: 84 | |
| height: 84 | |
| quality_level: 5 | |
| time_scale: 20 | |
| target_frame_rate: -1 | |
| capture_frame_rate: 60 | |
| no_graphics: true | |
| environment_parameters: null | |
| checkpoint_settings: | |
| run_id: PushBlock Training | |
| initialize_from: null | |
| load_model: false | |
| resume: false | |
| force: false | |
| train_model: false | |
| inference: false | |
| results_dir: results | |
| torch_settings: | |
| device: null | |
| debug: false | |