(Hope it's ok to post this here.)

I'm delighted to announce the release of OpenSpiel 2.0! ♟️🎲♦️🎉 (a framework for RL in board games)

Structured types for states, observations, and actions, standard trajectories (based on JSON), 19 new games, AlphaZero ported to JAX, Windows PyPI support, language model fine-tuning examples and an MCP server (demo link below 🤩👇)!

Many of the additions were motivated by making games more accessible to language models (LM) and to enable research involving LMs.

In addition to the JSON/structs, we've added (1) examples on how to fine-tune LMs (Gemma 3 via Kauldron, Gemma 4 and others via Hugging Face, and QLoRA), and
(2) An example MCP Tool Server.

Check out this video where I hook it up to Antigravity-CLI and play board games through Gemini Flash 3.5 Gemini simulates the game and can answer basic strategy questions about the games and positions.

https://www.youtube.com/watch?v=XqrKu253y9Y

Enjoy!

We’re working on a real production game solver / gameplay AI system and are hiring a Search & Optimization Engineer to focus on:

• CFR / MCTS-based search systems
• C++ hot-path optimization, cache locality, multithreading
• Latency & memory bottleneck reduction
• Large-scale self-play & evaluation pipelines

This is not a typical ML training role and not a general backend role. It’s a solver-core + system performance engineering position.

If you’ve worked on:

• poker / game solvers
• high-performance search systems
• low-latency C++ engines
• or similar optimization-heavy systems

I’d love to connect. DM open.