Downloads · 30 days
5
24% of all-time downloads
ML-Agent-Coin-collect
Kano001/ML-Agent-Coin-collect
ML-Agent-Coin-collect is a reinforcement learning model from Kano001. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for ml-agents. The card lists the license as apache-2.0.
behaviors: CollectCoin: trainertype: ppo hyperparameters: batchsize: 1024 buffersize: 10240 learningrate: 0.0003 beta: 0.005 epsilon: 0.2 lambd: 0.95 numepoch: 3 sharedcritic: false learningrateschedule: linear betasc…
All-time downloads
21
Public
Repo size
75.1 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.onnx75.1 KB · 96%
At a glance
- Task
- Reinforcement Learning
- Library
- ml-agents
- License
- apache-2.0
- Access
- Public
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024
- SHA
- 337782e6
Model card
From the Hugging Face model README
Collect Coin, a environment for ML-Agent made by Brijesh Tejani
Config File
behaviors: CollectCoin: trainer_type: ppo hyperparameters: batch_size: 1024 buffer_size: 10240 learning_rate: 0.0003 beta: 0.005 epsilon: 0.2 lambd: 0.95 num_epoch: 3 shared_critic: false learning_rate_schedule: linear beta_schedule: linear epsilon_schedule: linear network_settings: normalize: false hidden_units: 128 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: 2500000 time_horizon: 64 summary_freq: 50000 threaded: false self_play: null behavioral_cloning: null env_settings: env_path: null 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: false environment_parameters: null checkpoint_settings: run_id: '001' initialize_from: null load_model: false resume: false force: false train_model: false inference: false results_dir: results torch_settings: device: null debug: false
- Task
- Reinforcement Learning
- Library
- ml-agents
- License
- apache-2.0
- Created
- Jul 22, 2024
- Updated
- Jul 22, 2024