Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
sb3-contrib
mujoco
Hopper-v4
weight-editing
Eval Results (legacy)
Instructions to use erickvs/tqc-Hopper-v4-hand-edited with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use erickvs/tqc-Hopper-v4-hand-edited with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="erickvs/tqc-Hopper-v4-hand-edited", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 418 Bytes
1df5d72 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"wsp_lab_candidate": "8060f7c7936f492b",
"experiment": "006b",
"base": "sb3/tqc-Hopper-v3",
"program": [
{
"args": {
"delta": 0.1,
"direction": "boost_x"
},
"kind": "shift_input"
}
],
"changed_actor_values": {
"actor.latent_pi.0.weight": 0,
"actor.latent_pi.0.bias": 256,
"actor.latent_pi.2.weight": 0,
"actor.latent_pi.2.bias": 0,
"actor.mu.weight": 0,
"actor.mu.bias": 0
}
} |