- Update DQN trainer with gradient collapse detection warmup - Add portfolio tracker improvements - Include hyperopt trial results (multiple Sharpe ratio experiments) - Add new test files for action/position sign convention, early stopping, cash reserve bugs, and portfolio execution - Update trained model files - Add Claude Code configuration and skills 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
29 lines
545 B
Markdown
29 lines
545 B
Markdown
# agent-coordination
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Coordination patterns for multi-agent collaboration.
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## Coordination Patterns
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### Hierarchical
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Queen-led with worker specialization
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```bash
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npx claude-flow swarm init --topology hierarchical
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```
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### Mesh
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Peer-to-peer collaboration
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```bash
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npx claude-flow swarm init --topology mesh
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```
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### Adaptive
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Dynamic topology based on workload
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```bash
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npx claude-flow swarm init --topology adaptive
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```
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## Best Practices
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- Use hierarchical for complex projects
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- Use mesh for research tasks
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- Use adaptive for unknown workloads
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