”deepmind-lab“ 的搜索结果

Reinforcement learning with unsupervised auxiliary tasks

A standalone release of DeepMind Lab's maze generator with Python bindings.

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

翻译 - SEED RL：具有加速的中央推理功能的可扩展，高效的Deep-RL。使用SEED的体系结构在TF2中实现IMPALA和R2D2算法。

An API conversion tool for popular external reinforcement learning environments

Gym implementation of connector to Deepmind lab

Reinforcement learning in 3D.

#计算机科学#The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

#计算机科学#A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"

#计算机科学#A customisable 3D platform for agent-based AI research

翻译 - 可定制的3D平台，用于基于代理的AI研究

https://github.com/deepmind/deepmind-research

Open weights LLM from Google DeepMind.

Minimal version of DeepMind AlphaZero

This repository contains implementations and illustrative code to accompany DeepMind publications

翻译 - 该存储库包含DeepMind出版物随附的实现和说明性代码

The original code from the DeepMind article + my tweaks

#计算机科学#Implementation of Alphafold 3 from Google Deepmind in Pytorch

OpenAI Gym wrapper for the DeepMind Control Suite

OpenAI Gym Wrapper for DeepMind Control Suite

reinforcement learning ddpg code. follow deepmind papers.

#计算机科学#Convert DeepMind Control Suite to OpenAI gym environments.

#计算机科学#Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

TensorFlow Reinforcement Learning

翻译 - TensorFlow强化学习

FE DEV LAB

Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind

翻译 - 复制DeepMind的“通过深度强化学习玩Atari”的结果

book lab

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

翻译 - bsuite是精心设计的实验的集合，这些实验研究强化学习（RL）代理的核心功能

#计算机科学#Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Implementation of "Teaching Machines to Read and Comprehend" proposed by Google DeepMind