Schedule

Time 8 September 9 September 10 September
8:30–9:30 Registration
9:30–9:45 Opening Remarks
9:45–10:25 Gianluca Baldassarre - "Open‑Ended Learning Robots: From the Purpose Alignment Framework to a Purpose-Biased Model" Christian Guckelsberger - "Creativity & Intrinsically Motivated, Open-Ended Learning: Three Roads to Surprise" Franziska Braendle - "Understanding Fun: Using Video Games to Study Intrinsic Motivation"
10:25–10:55 Coffee Break Coffee Break Coffee Break
10:55–11:35 Tim Rocktäschel - "Open-Endedness and World Models" Jakob Foerster - "Reinforcement Learning at the Hyperscale" Michael Herrmann - "The emotional underpinnings of self-motivated learning"
11:35–11:45 Contributed Talk: Thomas Carta - "HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents" Contributed Talk: Émiland Garrabé - "Open-ended planning and grasping for robotic manipulation tasks using lightweight LLMs" Closing Remarks
11:45–11:55 Contributed Talk: Oliver Obst - "Empowerment under Uncertainty: Approximate Bayesian Exploration in Model-Based RL" Contributed Talk: Tristan Shah - "Emergence of Diverse Social Interactions Through 'Egoistic Empowerment'"
11:55–12:05 Contributed Talk: Daniel Braun - "Contrastive Goal Representation Learning for Open-Ended Reinforcement Learning" Contributed Talk: John Lones - "Using (Neuro-)Hormones to generate motivations and support long term learning"
12:05–13:35 Lunch Break + Poster Session 1 Lunch Break + Poster Session 2
13:35–14:15 Anna Jordanous - "Measuring success in open ended-learning AI models: what has been learned from computational creativity evaluation research" Tim Verbelen - "Active Inference for Adaptive Robots: A First-Principles Approach to Perception, Planning, and Control"
14:15–15:15 Panel: Ethics of Open-Ended Autonomy Panel: Intrinsic Motivation and Open-Endedness - the Future of AI! The Future of AI?
15:15–16:15 Long Coffee Break 1 (Mentorship) Long Coffee Break 2 (Project Dating)
16:15–16:55 Özgür Şimşek - "Learning multi-level skill hierarchies in reinforcement learning" Michael Levin - "Diverse intelligence: intrinsic motivation in evolved, engineered, and hybrid systems"
16:55-17:00 Closing Remarks Closing Remarks

Poster Sessions

Poster Session 1 — Monday, 8 September · 12:05–13:35 (SPECTRA building, Floor 1 open space)

  • Richard Bornemann — “Discrete Hierarchical Skill Spaces as a Next Frontier of Quality Diversity Methods”
  • Erik M. Lintunen, Nadia M. Ady, Sebastian Deterding, Christian Guckelsberger — “Employing Intrinsically Motivated Reinforcement Learning Towards a Formal Specification of the Need for Competence”
  • Dominik Sobania, Martin Briesch — “Open-Ended Evolution of Tools for Large Language Model-Based Problem Solving”
  • Barthélémy Dang-Nhu, Louis Annabi, Sylvain ARGENTIERI — “Linear Disentanglement through Action Group Learning”
  • Mathilde Kappel, Mahdi Khoramshahi, Faiz BEN AMAR, Louis Annabi, Stephane Doncieux — “Towards Robust Prehensile Manipulation in Open-Ended Environments”
  • Zakaria LEMHAOURI, Laura COHEN, Ann Nowe, Lola Cañamero — “Comparing Motivation-Based and Passive Language Learning Approaches for Robots in Ambiguous Environments”
  • Theodora Hamilton-Holbrook, John Lones — “Prima Facie: Neuromodulation to Support Motivation Interplay”
  • Alexander David Wickham, Dongao Zhai, J. Michael Herrmann — “Emergent Properties in Swarm Robotics: Towards Adaptive and Versatile Behaviour”
  • Dari Trendafilov — “Empowerment-based prediction of swarm performance in collective perception”
  • Benjamin Fele, Jan Babic — “Exploration via Junction States: Scalable Estimation with Door(s)”
  • Miklos Kepes, Paul O’Dowd, Chanelle Lee — “Beyond Copying: Selective Goal-Driven Imitation for Continual Adaptation of Autonomous Agents”
  • Faizan Rasheed, Daniel Polani, Kenzo Clauw, Nicola Catenacci Volpi — “Object Empowerment as an Intrinsic Drive for Tool Selection in Reinforcement Learning”
  • Eleni Nisioti, Akhi Mocherla, Cédric Colas, Pierre-Yves Oudeyer, Clément Moulin-Frier, Jérémy Perez, Maxime Derex — “Evolving Interaction Protocols for Open-Ended Collective Innovation”
  • Fabian Wurzberger, Sebastian Gottwald, Daniel Alexander Braun — “Contrastive Goal Representation Learning for Open-Ended Reinforcement Learning”
  • Roberto Santana — “A neuroevolutionary algorithm for plasticity loss mitigation based on neuron coverage”
  • Loris Gaven, Thomas Carta, Clément ROMAC, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer — “MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces”
  • Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer — “Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI”
  • Thomas Carta, Clément ROMAC, Loris Gaven, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier — “HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents”
  • Guillaume Pourcel, Thomas Carta, Grgur Kovač, Cédric Colas, Pierre-Yves Oudeyer — “Learning Progress-Guided LLM Goal Generation for Autotelic Skill Learning”
  • Frank Förster — “Social Motivations - An Overlooked Topic in the Intrinsic Motivation Landscape?”
  • William B. Langdon — “Open-Ended Evolution with Linear Genetic Programming”

Poster Session 2 — Tuesday, 9 September · 12:05–13:35 (SPECTRA building, Floor 1 open space)

  • Fei-Yang Huang, Fabian Grabenhorst — “Compositional Nutrient-Reward Valuation for Nutrient-sensitive Reinforcement Learning”
  • Leticia Berto, Ricardo R. Gudwin, Esther Luna Colombini — “Towards Autonomy: An Incremental, Intrinsically Motivated Approach for Cognitive Robots”
  • Erik M. Lintunen — “VendiRL: A Framework for Learning Diversely Diverse Skills Under a Single Reward Formalism”
  • Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci — “A Motivational Architecture for Open-Ended Learning Challenges in Robots”
  • Michal Vavrecka, Gabriela Sejnova, Karla Stepanova, Radoslav Škoviera — “PRAG: Procedural Action Generator”
  • Jan Lemeire, Jure Zabkar, Domen Soberl, Marco Van Cleemput, Ruben Spolmink — “Qualitative Models – The Missing Link for Self-Learning Embodied Agents”
  • John Lones — “Using (Neuro-)Hormones to generate motivations and support long term learning”
  • Timur Ryspekov, Yevgeniy Ussatov — “iCon: A Modular AI Architecture for Open-Ended, Self-Supervised Learning”
  • Soumya Banerjee — “Wu-Wei in the Machine: Open-Ended Learning in Goal-Free Generative Agent Societies”
  • Ruben Spolmink, Marco Van Cleemput, Jan Lemeire — “Skill learning using qualitative models”
  • Oksana Hagen — “Task-Agnostic Representation Learning for Policy Learning in Embodied Agents: A Scoping Review”
  • Andrey E Ustyuzhanin, Ivar Martin, Serg Bell — “Mini-Bang Intelligence Benchmark: A Parametric Framework for Measuring Emergence Comprehension”
  • Emiland Garrabé, Julien Gleyze, Mahdi Khoramshahi, Stephane Doncieux — “Open-ended planning and grasping for robotic manipulation tasks using lightweight LLMs”
  • Mohan Sridharan — “Toward Open-Ended Reasoning and Learning in Robotics”
  • Tristan Alexander Shah, Ilya Nemenman, Daniel Polani, Stas Tiomkin — “Emergence of Diverse Social Interactions Through Egoistic Empowerment”
  • Andrea Fanti, Roberto Capobianco — “Unsupervised Reward Design”
  • Oliver Obst, Fabian C Weigend, Lisa Graf — “Empowerment under Uncertainty: Approximate Bayesian Exploration in Model-Based RL”
  • Tojoarisoa Rakotoaritina, Gaganpreet Jhajj, Chris Reinke, Kenji Doya — “Information-Theoretic Formulation and Combination of Intrinsic Rewards: Novelty, Surprise and Empowerment”
  • Stavros T Anagnou — “Empowerment for intrinsically motivated social conformity”
  • Nicola Catenacci Volpi, Karen Archer, Emil Dmitruk, Kenzo Clauw, Frederick Richard, Emilio Cartoni, Gianluca Baldassarre — “Empowerment for Goal-driven Open-Ended Learning”
  • Hampus Åström — “”Environment Agnostic Goal-Conditioning, A Study of Reward-Free Autonomous Learning”