{"data":{"kind":"file","path":"README.md","version_id":"pyxmj05ktu3b1i51gx2nhxav","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":1246,"modified_at":"2026-08-19T11:15:32.017000","content_hash":"17f65a8317797ca755d6b69b361001f7f3bec23d7a7225410763e3c0a1d9262e"},"entries":[],"content":"# Catan Resource & Trading Simulator\n\nA verifiers environment that evaluates LLM reasoning about resource management, trading strategies, and settlement planning inspired by the board game Catan.\n\n## Overview\n\nThis environment presents Catan-like scenarios where the model must:\n- Evaluate proposed trades for fairness and strategic value\n- Optimize resource allocation for building roads, settlements, and cities\n- Determine the best settlement placement given board state\n- Calculate probability-weighted resource production\n- Negotiate multi-party trade deals\n\n## Scenarios\n\nEach task presents a board state with:\n- Player resources (brick, lumber, ore, grain, wool)\n- Hex tiles with numbers (resource production probabilities)\n- Existing roads, settlements, and cities\n- Proposed trades or strategic decisions\n\n## Reward Functions\n\n1. **trade_evaluation** - Correctly identifies fair/unfair trades\n2. **resource_optimization** - Chooses optimal resource spending\n3. **probability_reasoning** - Accurately weighs dice probability\n4. **strategic_planning** - Multi-turn planning for longest road / largest army\n\n## Usage\n\n```python\nimport verifiers as vf\nenv = vf.load_environment(\"tohan/catan-resource-trading-simulator\")\n```\n\n## License\n\nMIT\n","encoding":"utf-8","truncated":false,"total_bytes":1246},"status":null}