Benchmarks

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Why Build an Assistant in Minecraft?

22 Jul 2019facebookresearch/craftassist

In this document we describe a rationale for a research program aimed at building an open "assistant" in the game Minecraft, in order to make progress on the problems of natural language understanding and learning from dialogue.

MINECRAFT NATURAL LANGUAGE UNDERSTANDING

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

19 Jul 2019facebookresearch/craftassist

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions.

MINECRAFT

Order-Aware Generative Modeling Using the 3D-Craft Dataset

ICCV 2019 facebookresearch/VoxelCNN

We demonstrate that our Voxel-CNN model is simple and effective at this creative task, and can serve as a strong baseline for future research in this direction.

HOUSE GENERATION MINECRAFT

Teacher-Student Curriculum Learning

1 Jul 2017tambetm/TSCL

We propose Teacher-Student Curriculum Learning (TSCL), a framework for automatic curriculum learning, where the Student tries to learn a complex task and the Teacher automatically chooses subtasks from a given set for the Student to train on.

CURRICULUM LEARNING MINECRAFT

Hierarchical Deep Q-Network from Imperfect Demonstrations in Minecraft

18 Dec 2019kimbring2/DQFD_Minecraft

We present Hierarchical Deep Q-Network (HDQfD) that took first place in the MineRL competition.

MINECRAFT

Scaling Imitation Learning in Minecraft

6 Jul 2020amiranas/minerl_imitation_learning

Imitation learning is a powerful family of techniques for learning sensorimotor coordination in immersive environments.

DATA AUGMENTATION IMITATION LEARNING MINECRAFT

Playing Minecraft with Behavioural Cloning

7 May 2020Miffyli/minecraft-bc

MineRL 2019 competition challenged participants to train sample-efficient agents to play Minecraft, by using a dataset of human gameplay and a limit number of steps the environment.

BEHAVIOURAL CLONING MINECRAFT

Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations

17 Jun 2020cog-isa/forger

There are two main approaches to improving the sample efficiency of reinforcement learning methods - using hierarchical methods and expert demonstrations.

MINECRAFT

The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors

22 Apr 2019shadowyzy/NIPS2019-MineRL-Competition-solution

To that end, we introduce: (1) the Minecraft ObtainDiamond task, a sequential decision making environment requiring long-term planning, hierarchical control, and efficient exploration methods; and (2) the MineRL-v0 dataset, a large-scale collection of over 60 million state-action pairs of human demonstrations that can be resimulated into embodied trajectories with arbitrary modifications to game state and visuals.

DECISION MAKING EFFICIENT EXPLORATION MINECRAFT