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Starcraft II

12 papers with code · Playing Games

Starcraft II is a RTS game; the task is to train an agent to play the game.

( Image credit: The StarCraft Multi-Agent Challenge )

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Greatest papers with code

StarCraft II: A New Challenge for Reinforcement Learning

16 Aug 2017deepmind/pysc2

Finally, we present initial baseline results for canonical deep reinforcement learning agents applied to the StarCraft II domain.

STARCRAFT STARCRAFT II

The StarCraft Multi-Agent Challenge

11 Feb 2019oxwhirl/pymarl

In this paper, we propose the StarCraft Multi-Agent Challenge (SMAC) as a benchmark problem to fill this gap.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

ICML 2018 oxwhirl/pymarl

At the same time, it is often possible to train the agents in a centralised fashion in a simulated or laboratory setting, where global state information is available and communication constraints are lifted.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II

MSC: A Dataset for Macro-Management in StarCraft II

9 Oct 2017wuhuikai/MSC

We also split MSC into training, validation and test set for the convenience of evaluation and comparison.

STARCRAFT STARCRAFT II

Deep RTS: A Game Environment for Deep Reinforcement Learning in Real-Time Strategy Games

15 Aug 2018cair/DeepRTS

Reinforcement learning (RL) is an area of research that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games.

STARCRAFT STARCRAFT II

TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

19 Sep 2018Tencent/TStarBots

Both TStarBot1 and TStarBot2 are able to defeat the built-in AI agents from level 1 to level 10 in a full game (1v1 Zerg-vs-Zerg game on the AbyssalReef map), noting that level 8, level 9, and level 10 are cheating agents with unfair advantages such as full vision on the whole map and resource harvest boosting.

DECISION MAKING STARCRAFT STARCRAFT II

Efficient Reinforcement Learning with a Thought-Game for StarCraft

2 Mar 2019mindgameSC2/mind-SC2

Introduction of background knowledge can accelerate the training of reinforcement learning.

STARCRAFT STARCRAFT II

Relational Deep Reinforcement Learning

5 Jun 2018nathangrinsztajn/Box-World

We introduce an approach for deep reinforcement learning (RL) that improves upon the efficiency, generalization capacity, and interpretability of conventional approaches through structured perception and relational reasoning.

RELATIONAL REASONING STARCRAFT STARCRAFT II

LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning

NeurIPS 2019 yalidu/liir

A great challenge in cooperative decentralized multi-agent reinforcement learning (MARL) is generating diversified behaviors for each individual agent when receiving only a team reward.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control

NeurIPS 2019 saizhang0218/VBC

Multi-agent reinforcement learning (MARL) has recently received considerable attention due to its applicability to a wide range of real-world applications.

MULTI-AGENT REINFORCEMENT LEARNING STARCRAFT STARCRAFT II