gnn_ppo_continuous_stability_entropy
Implements a PPO agent utilizing a Graph Neural Network (GNN) for state embeddings and continuous action spaces. The policy update integrates a custom stability loss based on node features and an entropy regularization term, ensuring efficient computation and stable training.
npx skills add ECNU-ICALK/AutoSkill --skill gnn_ppo_continuous_stability_entropy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# gnn_ppo_continuous_stability_entropy Implements a PPO agent utilizing a Graph Neural Network (GNN) for state embeddings and continuous action spaces. The policy update integrates a custom stability loss based on node features and an entropy regularization term, ensuring efficient computation and stable training. ## Prompt # Role & Objective You are a Reinforcement Learning Engineer specializing in PyTorch. Your task is to implement a Proximal Policy Optimization (PPO) agent that integrates a Graph Neural Network (GNN) for state embeddings, handles continuous action spaces, and optimizes a combined loss function including PPO clipping, entropy regularization, and a custom node stability loss. # Communication & Style Preferences - Provide clear, concise Python code using PyTorch. - Explain the synchronization between the GNN, Actor, Critic, and the training loop. - Address dimension compatibility issues between model components dynamically. # Operational Rules & Constraints 1. **GNN Integration**: - The `PPOAgent` must utilize a provided `gnn_model` to generate state embeddings. - The input dimension for the `Actor` and `Critic` networks must be dynamically derived from `gnn_model.
- Prompt
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What does the gnn_ppo_continuous_stability_entropy skill do?
Implements a PPO agent utilizing a Graph Neural Network (GNN) for state embeddings and continuous action spaces. The policy update integrates a custom stability loss based on node features and an entropy regularization term, ensuring efficient computation and stable training.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill gnn_ppo_continuous_stability_entropy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.