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Board Games Edit

8 papers with code · Playing Games

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The Many AI Challenges of Hearthstone

15 Jul 2019

Games have benchmarked AI methods since the inception of the field, with classic board games such as Chess and Go recently leaving room for video games with related yet different sets of challenges.

General Board Game Playing for Education and Research in Generic AI Game Learning

11 Jul 2019

On various games, TD($\lambda$)-n-tuple is found to be superior to other generic agents like MCTS.

Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates

14 May 2019

In recent years, state-of-the-art game-playing agents often involve policies that are trained in self-playing processes where Monte Carlo tree search (MCTS) algorithms and trained policies iteratively improve each other.

Creating Pro-Level AI for Real-Time Fighting Game with Deep Reinforcement Learning

8 Apr 2019

This is due to the inherent difficulties of modern fighting games, including vast action spaces, real-time constraints, and performance generalizations required for various opponents.

Improved Reinforcement Learning with Curriculum

29 Mar 2019

Humans tend to learn complex abstract concepts faster if examples are presented in a structured manner.

Biasing MCTS with Features for General Games

21 Mar 2019

This paper proposes using a linear function approximator, rather than a deep neural network (DNN), to bias a Monte Carlo tree search (MCTS) player for general games.

Learning Self-Game-Play Agents for Combinatorial Optimization Problems

8 Mar 2019

Recent progress in reinforcement learning (RL) using self-game-play has shown remarkable performance on several board games (e. g., Chess and Go) as well as video games (e. g., Atari games and Dota2).

At Human Speed: Deep Reinforcement Learning with Action Delay

16 Oct 2018

There has been a recent explosion in the capabilities of game-playing artificial intelligence.

Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation

4 Sep 2018

In the past few years, deep reinforcement learning has been proven to solve problems which have complex states like video games or board games.

Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning

13 Jun 2018

While reinforcement learning (RL) has been applied to turn-based board games for many years, more complex games involving decision-making in real-time are beginning to receive more attention.