Cédric Colas | DeepAI

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∙ 07/15/2023

Large Language Models as Superpositions of Cultural Perspectives

Large Language Models (LLMs) are often misleadingly recognized as having...

0 Grgur Kovač, et al. ∙

∙ 05/21/2023

Augmenting Autotelic Agents with Large Language Models

Humans learn to master open-ended repertoires of skills by imagining and...

0 Cédric Colas, et al. ∙

∙ 02/13/2023

Guiding Pretraining in Reinforcement Learning with Large Language Models

Reinforcement learning algorithms typically struggle in the absence of a...

0 Yuqing Du, et al. ∙

∙ 06/02/2022

Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI

Building autonomous artificial agents able to grow open-ended repertoire...

7 Cédric Colas, et al. ∙

∙ 02/10/2022

Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents

In the quest for autonomous agents learning open-ended repertoires of sk...

5 Ahmed Akakzia, et al. ∙

∙ 05/25/2021

Towards Teachable Autonomous Agents

Autonomous discovery and direct instruction are two extreme sources of l...

10 Olivier Sigaud, et al. ∙

∙ 12/17/2020

Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey

Building autonomous machines that can explore open-ended environments, d...

32 Cédric Colas, et al. ∙

∙ 10/09/2020

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

Epidemiologists model the dynamics of epidemics in order to propose cont...

0 Cédric Colas, et al. ∙

∙ 06/12/2020

DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents

Intrinsically motivated agents freely explore their environment and set ...

1 Ahmed Akakzia, et al. ∙

∙ 06/12/2020

Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL

In the real world, linguistic agents are also embodied agents: they perc...

8 Cédric Colas, et al. ∙

∙ 03/20/2020

Deep Sets for Generalization in RL

This paper investigates the idea of encoding object-centered representat...

8 Tristan Karch, et al. ∙

∙ 03/10/2020

Automatic Curriculum Learning For Deep RL: A Short Survey

Automatic Curriculum Learning (ACL) has become a cornerstone of recent s...

30 Rémy Portelas, et al. ∙

∙ 03/03/2020

Scaling MAP-Elites to Deep Neuroevolution

Quality-Diversity (QD) algorithms, and MAP-Elites (ME) in particular, ha...

8 Cédric Colas, et al. ∙

∙ 02/21/2020

Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration

Autonomous reinforcement learning agents must be intrinsically motivated...

5 Cédric Colas, et al. ∙

∙ 11/08/2019

Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning

Autonomous reinforcement learning agents, like children, do not have acc...

12 Nicolas Lair, et al. ∙

∙ 10/16/2019

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

We consider the problem of how a teacher algorithm can enable an unknown...

61 Rémy Portelas, et al. ∙

∙ 04/15/2019

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

Consistently checking the statistical significance of experimental resul...

0 Cédric Colas, et al. ∙

∙ 01/28/2019

CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments

In this paper, we propose an unsupervised reinforcement learning agent c...

0 Pierre Fournier, et al. ∙

∙ 10/15/2018

CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning

In open-ended and changing environments, agents face a wide range of pot...

0 Cédric Colas, et al. ∙

∙ 07/31/2018

Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI

For many people suffering from motor disabilities, assistive devices con...

0 Pablo Ortega, et al. ∙

∙ 06/21/2018

How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments

Consistently checking the statistical significance of experimental resul...

4 Cédric Colas, et al. ∙

∙ 02/14/2018

GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

In continuous action domains, standard deep reinforcement learning algor...

0 Cédric Colas, et al. ∙

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