AI researcher in Reinforcement Learning, LLMs and Cultural Heritage.
https://lcipolina.github.io/
📖 Blog: laion.ai/blog/reasoni...
📋 Paper: arxiv.org/abs/2508.03368
💻 Code: github.com/SLAMPAI/game...
🔬 Colab demo: github.com/SLAMPAI/game...
📚 Docs: game-reasoning-arena.readthedocs.io
🤗 Leaderboard: huggingface.co/spaces/lcipo...
📖 Blog: laion.ai/blog/reasoni...
📋 Paper: arxiv.org/abs/2508.03368
💻 Code: github.com/SLAMPAI/game...
🔬 Colab demo: github.com/SLAMPAI/game...
📚 Docs: game-reasoning-arena.readthedocs.io
🤗 Leaderboard: huggingface.co/spaces/lcipo...
• Built on OpenSpiel framework
• 9+ strategic games (Tic-Tac-Toe → Chess)
• Support for LiteLLM, Hugging Face and vLLM
• Ray parallelization for large-scale experiments
• Automatic reasoning categorization
• TensorBoard integration
Scale from single games to tournaments 🏆
• Built on OpenSpiel framework
• 9+ strategic games (Tic-Tac-Toe → Chess)
• Support for LiteLLM, Hugging Face and vLLM
• Ray parallelization for large-scale experiments
• Automatic reasoning categorization
• TensorBoard integration
Scale from single games to tournaments 🏆
🎲 Reasoning diversity: Models show distinct decision-making patterns for different game
🔄 Game adaptation: Bigger models adapt their strategy as the game progresses.
🎲 Reasoning diversity: Models show distinct decision-making patterns for different game
🔄 Game adaptation: Bigger models adapt their strategy as the game progresses.
🧠 What makes this unique? We capture the reasoning behind every move and analyse the strategies as the game evolves
Not just "what did the AI choose" but "why did it choose that?"
🧠 What makes this unique? We capture the reasoning behind every move and analyse the strategies as the game evolves
Not just "what did the AI choose" but "why did it choose that?"
openreview.net/forum?id=Mkl...
On this workshop
scienceofdlworkshop.github.io
openreview.net/forum?id=Mkl...
On this workshop
scienceofdlworkshop.github.io