Julian Schrittwieser | DeepAI

AI Chat

Featured Co-authors

Nicolas Heess
104 publications
Oriol Vinyals
101 publications
Pushmeet Kohli
93 publications
Nando de Freitas
83 publications
Cheng Chen
78 publications
Ziyu Wang
65 publications
Joel Z. Leibo
53 publications
Karen Simonyan
53 publications
Timothy Lillicrap
52 publications
David Silver
52 publications
Martin Riedmiller
52 publications

∙ 08/07/2023

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning

StarCraft II is one of the most challenging simulated reinforcement lear...

0 Michael Mathieu, et al. ∙

∙ 05/11/2023

Optimizing Memory Mapping Using Deep Reinforcement Learning

Resource scheduling and allocation is a critical component of many high ...

0 Pengming Wang, et al. ∙

∙ 02/14/2022

MuZero with Self-competition for Rate Control in VP9 Video Compression

Video streaming usage has seen a significant rise as entertainment, educ...

0 Amol Mandhane, et al. ∙

∙ 02/08/2022

Competition-Level Code Generation with AlphaCode

Programming is a powerful and ubiquitous problem-solving tool. Developin...

0 Yujia Li, et al. ∙

∙ 11/02/2021

Procedural Generalization by Planning with Self-Supervised World Models

One of the key promises of model-based reinforcement learning is the abi...

4 Ankesh Anand, et al. ∙

∙ 04/13/2021

Learning and Planning in Complex Action Spaces

Many important real-world problems have action spaces that are high-dime...

2 Thomas Hubert, et al. ∙

∙ 04/13/2021

Online and Offline Reinforcement Learning by Planning with a Learned Model

Learning efficiently from small amounts of data has long been the focus ...

43 Julian Schrittwieser, et al. ∙

∙ 10/12/2020

Local Search for Policy Iteration in Continuous Control

We present an algorithm for local, regularized, policy improvement in re...

0 Jost Tobias Springenberg, et al. ∙

∙ 11/19/2019

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Constructing agents with planning capabilities has long been one of the ...

23 Julian Schrittwieser, et al. ∙

∙ 08/26/2019

OpenSpiel: A Framework for Reinforcement Learning in Games

OpenSpiel is a collection of environments and algorithms for research in...

12 Marc Lanctot, et al. ∙

∙ 12/17/2018

Bayesian Optimization in AlphaGo

During the development of AlphaGo, its many hyper-parameters were tuned ...

129 Yutian Chen, et al. ∙

∙ 12/05/2017

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

The game of chess is the most widely-studied domain in the history of ar...

0 David Silver, et al. ∙

∙ 08/16/2017

StarCraft II: A New Challenge for Reinforcement Learning

This paper introduces SC2LE (StarCraft II Learning Environment), a reinf...

0 Oriol Vinyals, et al. ∙

∙ 12/12/2016

DeepMind Lab

DeepMind Lab is a first-person 3D game platform designed for research an...

0 Charles Beattie, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world