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AutoTavern
AutoTavern is a Hearthstone Battlegrounds simulator and decision benchmark with a Rust engine, Python bindings, and a 960-task evaluation set.
AutoTavern provides TavernGym and TavernBench for AI research on Hearthstone Battlegrounds. TavernGym is a deterministic simulator featuring a Rust engine and Python bindings, exposing single-seat and batched environments with discrete actions and numeric features. TavernBench offers a 960-task decision benchmark across eight categories, including prompts, labels, and saved states. Researchers can simulate complete games, connect learning algorithms, or score model answers against fixed tasks. The project requires Python and a Rust toolchain, and is released under the MIT License.
AutoTavern at a glance
- Best for: Researcher
- Runs on: Python, Rust, open source
- Pricing: Free
- Released: October 2026
- Category: AI agent tool
- Website: github.com/mcg-nju/autotavern
Key features
- Simulate complete eight-player games
- Connect learning algorithms to the environment
- Execute batched environments for self-play
- Evaluate model judgment with 960 benchmark tasks
- Inspect game states with Python bindings
- Score released model answers against labels
Use it for
- Simulate complete Hearthstone Battlegrounds games
- Train reinforcement learning agents
- Evaluate language models on game decisions
- Benchmark combat predictions and warband arrangements
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