Reinforcement Learning
ml-agents
ONNX
deep-reinforcement-learning
SnowballTarget
ML-Agents-SnowballTarget
Eval Results (legacy)
Instructions to use rondahahda/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use rondahahda/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="rondahahda/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
File size: 4,212 Bytes
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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 2.1.0-exp.1 and communication version 1.5.0
[INFO] Connected new brain: SnowballTarget?team=0
[INFO] Hyperparameters for behavior name SnowballTarget:
trainer_type: ppo
hyperparameters:
batch_size: 128
buffer_size: 2048
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
checkpoint_interval: 50000
network_settings:
normalize: False
hidden_units: 256
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
init_path: None
keep_checkpoints: 5
even_checkpoints: False
max_steps: 200000
time_horizon: 64
summary_freq: 10000
threaded: False
self_play: None
behavioral_cloning: None
[INFO] SnowballTarget. Step: 10000. Time Elapsed: 65.297 s. Mean Reward: 4.500. Std of Reward: 1.725. Training.
[INFO] SnowballTarget. Step: 20000. Time Elapsed: 126.340 s. Mean Reward: 6.945. Std of Reward: 2.203. Training.
[INFO] SnowballTarget. Step: 30000. Time Elapsed: 204.251 s. Mean Reward: 10.136. Std of Reward: 3.035. Training.
[INFO] SnowballTarget. Step: 40000. Time Elapsed: 290.814 s. Mean Reward: 10.618. Std of Reward: 2.693. Training.
[INFO] SnowballTarget. Step: 50000. Time Elapsed: 376.351 s. Mean Reward: 13.227. Std of Reward: 2.214. Training.
[INFO] Exported results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-49936.onnx
[INFO] SnowballTarget. Step: 60000. Time Elapsed: 460.009 s. Mean Reward: 14.655. Std of Reward: 2.718. Training.
[INFO] SnowballTarget. Step: 70000. Time Elapsed: 550.002 s. Mean Reward: 15.886. Std of Reward: 3.135. Training.
[INFO] SnowballTarget. Step: 80000. Time Elapsed: 677.162 s. Mean Reward: 18.109. Std of Reward: 2.755. Training.
[INFO] SnowballTarget. Step: 90000. Time Elapsed: 782.237 s. Mean Reward: 19.977. Std of Reward: 2.580. Training.
[INFO] Learning was interrupted. Please wait while the graph is generated.
[INFO] Exported results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-91608.onnx
[INFO] Copied results/SnowballTarget-course-20260925-v2/SnowballTarget/SnowballTarget-91608.onnx to results/SnowballTarget-course-20260925-v2/SnowballTarget.onnx.
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