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search-algorithm

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Snake AI project for the NLPF 2026 course, in two parts (1h30 each): a PyTorch Deep Q-Learning agent (Linear_QNet, 14-value state, epsilon-greedy, experience replay, Bellman equation), and pathfinding algorithms (Dijkstra, GBFS, plus a custom Hamiltonian-cycle hybrid that always wins). Base game left unmodified.

  • Updated Sep 29, 2026
  • Python

Pokémon TCG AI agent for the PTCG AI Battle Challenge, built on the real cg battle engine: v1 frozen baseline through v7 — real A/B-tested expectimax search, learned leaf-value model, belief-state opponent modeling, and an engine-cross-validated card dataset. Every result real, self-play tested, reported honestly.

  • Updated Sep 11, 2026
  • Python

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