Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

agent decision-making game-ai kaggle mcts monte-carlo-tree-search pokemon-tcg python reinforcement-learning self-play simulation
10 Open Issues Need Help Last updated: Aug 11, 2026

Open Issues Need Help

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enhancement help wanted

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
enhancement help wanted

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
enhancement help wanted

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
enhancement help wanted

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
enhancement help wanted

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
help wanted good first issue

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
help wanted good first issue

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
help wanted good first issue

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
help wanted good first issue

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation
Label 50 replay losses about 3 hours ago
help wanted good first issue

Mega Lucario ex agent for the Kaggle PTCG AI Battle simulation competition, with a parallel Docker self-play test harness (confidence intervals), replay metagame mining, and a full-turn lookahead search agent.

Python
#agent#decision-making#game-ai#kaggle#mcts#monte-carlo-tree-search#pokemon-tcg#python#reinforcement-learning#self-play#simulation