Dota 2

3 papers with code ยท Playing Games
Subtask of Video Games

Dota 2 is a multiplayer online battle arena (MOBA). The task is to train one-or-more agents to play and win the game.

( Image credit: OpenAI Five )

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Latest papers without code

Long-Term Planning and Situational Awareness in OpenAI Five

13 Dec 2019

Understanding how knowledge about the world is represented within model-free deep reinforcement learning methods is a major challenge given the black box nature of its learning process within high-dimensional observation and action spaces.

DOTA 2

Neural Network Surgery with Sets

13 Dec 2019

The cost to train machine learning models has been increasing exponentially, making exploration and research into the correct features and architecture a costly or intractable endeavor at scale.

DOTA 2

Dota 2 with Large Scale Deep Reinforcement Learning

13 Dec 2019

On April 13th, 2019, OpenAI Five became the first AI system to defeat the world champions at an esports game.

DOTA 2

Real-time eSports Match Result Prediction

10 Dec 2016

In this paper, we try to predict the winning team of a match in the multiplayer eSports game Dota 2.

DOTA 2

Real-Time Video Highlights for Yahoo Esports

27 Nov 2016

We present a technique for detecting highlights from live streaming videos of esports game matches.

DOTA 2 LEAGUE OF LEGENDS VIDEO UNDERSTANDING

Skill-Based Differences in Spatio-Temporal Team Behavior in Defence of The Ancients 2

24 Mar 2016

Results indicate that spatio-temporal behavior of MOBA teams is related to team skill, with professional teams having smaller within-team distances and conducting more zone changes than amateur teams.

DOTA 2 TIME SERIES TIME SERIES CLUSTERING