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Starcraft II

8 papers with code · Playing Games

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

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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

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 Mind-Game for Full-Length StarCraft II

2 Mar 2019mindgameSC2/mind-SC2

StarCraft II provides an extremely challenging platform for reinforcement learning due to its huge state-space and game length.

STARCRAFT STARCRAFT II

The Natural Language of Actions

4 Feb 20191230113202/NV-JM-DD

We introduce Act2Vec, a general framework for learning context-based action representation for Reinforcement Learning.

STARCRAFT STARCRAFT II

Relational Deep Reinforcement Learning

5 Jun 2018nathanin/pad

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