TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK
Card Games	Legends of Code and Magic (Self-play)	LSTM	Win rate	61.495%	# 2
Card Games	Legends of Code and Magic (Self-play)	History	Win rate	56.635%	# 3
Card Games	Legends of Code and Magic (Self-play)	Immediate	Win rate	68.975%	# 1

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Drafting in Collectible Card Games via Reinforcement Learning

7 Nov 2020 • Ronaldo Vieira • Anderson Rocha Tavares • Luiz Chaimowicz

Collectible card games are played by tens of millions of players worldwide. Their intricate rules and diverse cards make them much harder than traditional card games... (read more)

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CARD GAMES

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Ranked #1 on Card Games on Legends of Code and Magic (Self-play)

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TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	BENCHMARK
Card Games	Legends of Code and Magic (Self-play)	LSTM	Win rate	61.495%	# 2	Compare
Card Games	Legends of Code and Magic (Self-play)	History	Win rate	56.635%	# 3	Compare
Card Games	Legends of Code and Magic (Self-play)	Immediate	Win rate	68.975%	# 1	Compare

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METHOD	TYPE
Tanh Activation	Activation Functions
Sigmoid Activation	Activation Functions
LSTM	Recurrent Neural Networks
Entropy Regularization	Regularization
PPO	Policy Gradient Methods

Drafting in Collectible Card Games via Reinforcement Learning

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