Jean-Baptiste Lespiau | DeepAI

AI Chat

Featured Co-authors

Zhe Wang
161 publications
Nicolas Heess
104 publications
Oriol Vinyals
101 publications
Remi Munos
89 publications
Georgios Piliouras
78 publications
Anirudh Goyal
61 publications
Satinder Singh
56 publications
Karen Simonyan
53 publications
David Silver
52 publications
Karl Tuyls
50 publications
Marc Lanctot
44 publications

∙ 04/12/2023

DiscoGen: Learning to Discover Gene Regulatory Networks

Accurately inferring Gene Regulatory Networks (GRNs) is a critical and c...

0 Nan Rosemary Ke, et al. ∙

∙ 02/02/2023

Accelerating Large Language Model Decoding with Speculative Sampling

We present speculative sampling, an algorithm for accelerating transform...

0 Charlie Chen, et al. ∙

∙ 06/30/2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

We introduce DeepNash, an autonomous agent capable of learning to play t...

6 Julien Perolat, et al. ∙

∙ 12/08/2021

Improving language models by retrieving from trillions of tokens

We enhance auto-regressive language models by conditioning on document c...

8 Sebastian Borgeaud, et al. ∙

∙ 04/12/2021

Machine Translation Decoding beyond Beam Search

Beam search is the go-to method for decoding auto-regressive machine tra...

0 Rémi Leblond, et al. ∙

∙ 08/27/2020

The Advantage Regret-Matching Actor-Critic

Regret minimization has played a key role in online learning, equilibriu...

0 Audrūnas Gruslys, et al. ∙

∙ 02/19/2020

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization

In this paper we investigate the Follow the Regularized Leader dynamics ...

32 Julien Perolat, 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. ∙

∙ 06/01/2019

Neural Replicator Dynamics

In multiagent learning, agents interact in inherently nonstationary envi...

12 Shayegan Omidshafiei, et al. ∙

∙ 03/13/2019

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent

In this paper, we present exploitability descent, a new algorithm to com...

20 Edward Lockhart, et al. ∙

∙ 03/04/2019

α-Rank: Multi-Agent Evaluation by Evolution

We introduce α-Rank, a principled evolutionary dynamics methodology, for...

0 Shayegan Omidshafiei, et al. ∙

∙ 11/15/2018

Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search

Learning policies on data synthesized by models can in principle quench ...

0 Lars Buesing, et al. ∙

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