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07/17/2023
SBMLtoODEjax: efficient simulation and optimization of ODE SBML models in JAX
Developing methods to explore, predict and control the dynamic behavior ...
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07/15/2023
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents
Developmental psychologists have long-established the importance of soci...
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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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04/17/2023
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding
Qualitative analysis of textual contents unpacks rich and valuable infor...
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02/10/2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld
Building open-ended agents that can autonomously discover a diversity of...
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02/06/2023
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning
Recent works successfully leveraged Large Language Models' (LLM) abiliti...
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12/14/2022
Flow Lenia: Mass conservation for the study of virtual creatures in continuous cellular automata
Lenia is a family of cellular automata (CA) generalizing Conway's Game o...
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11/25/2022
GPT-3-driven pedagogical agents for training children's curious question-asking skills
Students' ability to ask curious questions is a crucial skill that impro...
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09/22/2022
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Large Language Models (LLMs) have in recent years demonstrated impressiv...
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07/08/2022
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
In this extended abstract we discuss the opportunities and challenges of...
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06/20/2022
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL
Reinforcement learning (RL) in long horizon and sparse reward tasks is n...
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06/10/2022
Social Network Structure Shapes Innovation: Experience-sharing in RL with SAPIENS
The human cultural repertoire relies on innovation: our ability to conti...
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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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05/12/2022
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language
To solve difficult tasks, humans ask questions to acquire knowledge from...
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04/07/2022
Conversational agents for fostering curiosity-driven learning in children
Curiosity is an important factor that favors independent and individuali...
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01/26/2022
Evaluating language-biased image classification based on semantic representations
Humans show language-biased image recognition for a word-embedded image,...
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12/14/2021
Learning to Guide and to Be Guided in the Architect-Builder Problem
We are interested in interactive agents that learn to coordinate, namely...
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10/30/2021
Identifying Functions and Behaviours of Social Robots during Learning Activities: Teachers' Perspective
With advances in artificial intelligence, research is increasingly explo...
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07/02/2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Building embodied autonomous agents capable of participating in social i...
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06/28/2021
Causal Reinforcement Learning using Observational and Interventional Data
Learning efficiently a causal model of the environment is a key challeng...
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06/25/2021
Transflower: probabilistic autoregressive dance generation with multimodal attention
Dance requires skillful composition of complex movements that follow rhy...
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06/16/2021
Grounding Spatio-Temporal Language with Transformers
Language is an interface to the outside world. In order for embodied age...
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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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04/27/2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Building embodied autonomous agents capable of participating in social i...
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03/17/2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Training autonomous agents able to generalize to multiple tasks is a key...
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03/11/2021
Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments
This paper outlines a perspective on the future of AI, discussing direct...
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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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11/16/2020
Meta Automatic Curriculum Learning
A major challenge in the Deep RL (DRL) community is to train agents able...
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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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10/08/2020
Emergent Jaw Predominance in Vocal Development through Stochastic Optimization
Infant vocal babbling strongly relies on jaw oscillations, especially at...
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08/10/2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement Learning
Autonomous agents using novelty based goal exploration are often efficie...
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07/02/2020
Hierarchically-Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Self-organization of complex morphological patterns from local interacti...
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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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05/13/2020
Progressive growing of self-organized hierarchical representations for exploration
Designing agent that can autonomously discover and learn a diversity of ...
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04/09/2020
Recognizing Spatial Configurations of Objects with Graph Neural Networks
Deep learning algorithms can be seen as compositions of functions acting...
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04/07/2020
Pedagogical Agents for Fostering Question-Asking Skills in Children
Question asking is an important tool for constructing academic knowledge...
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04/07/2020
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning
A major challenge in the Deep RL (DRL) community is to train agents able...
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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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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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02/20/2020
Multi-Agent Reinforcement Learning as a Computational Tool for Language Evolution Research: Historical Context and Future Challenges
Computational models of emergent communication in agent populations are ...
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01/16/2020
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant
People are becoming increasingly comfortable using Digital Assistants (D...
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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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08/19/2019
Intrinsically Motivated Exploration for Automated Discovery of Patterns in Morphogenetic Systems
Exploration is a cornerstone both for machine learning algorithms and fo...
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06/10/2019
Autonomous Goal Exploration using Learned Goal Spaces for Visuomotor Skill Acquisition in Robots
The automatic and efficient discovery of skills, without supervision, fo...
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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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03/25/2019