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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...
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05/21/2023
Augmenting Autotelic Agents with Large Language Models
Humans learn to master open-ended repertoires of skills by imagining and...
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02/13/2023
Guiding Pretraining in Reinforcement Learning with Large Language Models
Reinforcement learning algorithms typically struggle in the absence of a...
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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...
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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...
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05/25/2021
Towards Teachable Autonomous Agents
Autonomous discovery and direct instruction are two extreme sources of l...
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12/17/2020
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Building autonomous machines that can explore open-ended environments, d...
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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...
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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 ...
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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...
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03/20/2020
Deep Sets for Generalization in RL
This paper investigates the idea of encoding object-centered representat...
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03/10/2020
Automatic Curriculum Learning For Deep RL: A Short Survey
Automatic Curriculum Learning (ACL) has become a cornerstone of recent s...
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03/03/2020
Scaling MAP-Elites to Deep Neuroevolution
Quality-Diversity (QD) algorithms, and MAP-Elites (ME) in particular, ha...
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02/21/2020
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
Autonomous reinforcement learning agents must be intrinsically motivated...
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11/08/2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning
Autonomous reinforcement learning agents, like children, do not have acc...
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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...
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04/15/2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
Consistently checking the statistical significance of experimental resul...
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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...
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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...
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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...
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06/21/2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments
Consistently checking the statistical significance of experimental resul...
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02/14/2018