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Workshop

Workshop on Agent Learning in Open-Endedness

Minqi Jiang ⋅ Jack Parker-Holder ⋅ Michael D Dennis ⋅ Mikayel Samvelyan ⋅ Roberta Raileanu ⋅ Jakob Foerster ⋅ Edward Grefenstette ⋅ Tim Rocktaeschel
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Abstract

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Schedule

Timezone: America/Los_Angeles
1:45 AM
Introductory Remarks
Minqi Jiang
3:00 AM
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani ⋅ Piotr Bojanowski ⋅ Karteek Alahari ⋅ Sainbayar Sukhbaatar
3:15 AM
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning
Yi Wan ⋅ Ali Rahimi-Kalahroudi ⋅ Janarthanan Rajendran ⋅ Ida Momennejad ⋅ Sarath Chandar ⋅ Harm van Seijen
3:30 AM
Don't Freeze Your Embedding: Lessons from Policy Finetuning in Environment Transfer
Victoria Dean ⋅ Daniel Toyama ⋅ Doina Precup
8:15 AM
Accelerated Quality-Diversity for Robotics through Massive Parallelism
Bryan Lim ⋅ Maxime Allard ⋅ Luca Grillotti ⋅ Antoine Cully
8:30 AM
DSA-ME: Deep Surrogate Assisted MAP-Elites
Yulun Zhang ⋅ Matthew Fontaine ⋅ Amy Hoover ⋅ Stefanos Nikolaidis
8:45 AM
Differentiable Quality Diversity for Reinforcement Learning by Approximating Gradients
Bryon Tjanaka ⋅ Matthew Fontaine ⋅ Julian Togelius ⋅ Stefanos Nikolaidis
9:00 AM
Beyond Agents and Environments?
Julian Togelius
12:15 PM
Closing Remarks
Meta-World Conditional Neural Processes
Suzan Ece Ada ⋅ Emre Ugur
Streaming Inference for Infinite Non-Stationary Clustering
Rylan Schaeffer ⋅ Gabrielle Liu ⋅ Yilun Du ⋅ Scott Linderman ⋅ Ila Fiete
Ensemble Learning as a Peer Process
Ehsan Beikihassan ⋅ Ali Parviz ⋅ Amy Hoover ⋅ Ioannis Koutis
Watts: Infrastructure for Open-Ended Learning
Aaron Dharna ⋅ Charlie Summers ⋅ Rohin Dasari ⋅ Julian Togelius ⋅ Amy Hoover
Generalization Games for Reinforcement Learning
Manfred Diaz ⋅ Charlie Gauthier ⋅ Glen Berseth ⋅ Liam Paull
A Study of Off-Policy Learning in Environments with Procedural Content Generation
Andrew Ehrenberg ⋅ Robert Kirk ⋅ Minqi Jiang ⋅ Edward Grefenstette ⋅ Tim Rocktaeschel
SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
Michael Matthews ⋅ Mikayel Samvelyan ⋅ Jack Parker-Holder ⋅ Edward Grefenstette ⋅ Tim Rocktaeschel
Meta-Gradients in Non-Stationary Environments
Jelena Luketina ⋅ Sebastian Flennerhag ⋅ Yannick Schroecker ⋅ David Abel ⋅ Tom Zahavy
Bayesian Generational Population-Based Training
Xingchen Wan ⋅ Cong Lu ⋅ Jack Parker-Holder ⋅ Philip Ball ⋅ Vu Nguyen ⋅ Binxin Ru ⋅ Michael Osborne
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization
Thomas PIERROT ⋅ Valentin Macé ⋅ Felix Chalumeau ⋅ Arthur Flajolet ⋅ Geoffrey Cideron ⋅ Karim Beguir ⋅ Antoine Cully ⋅ Olivier Sigaud ⋅ Nicolas Perrin-Gilbert
Specialization and Exchange in Neural MMO
Joseph Suarez ⋅ Phillip Isola
Subjective Learning for Conflicting Data
Tianren Zhang ⋅ Yizhou Jiang ⋅ Xin Su ⋅ Shangqi Guo ⋅ Chongkai Gao ⋅ Feng Chen
Zero-Shot Reward Specification via Grounded Natural Language
Parsa Mahmoudieh ⋅ Deepak Pathak ⋅ trevor darrell
Learning to Walk Autonomously via Reset-Free Quality-Diversity
Bryan Lim ⋅ Alexander Reichenbach ⋅ Antoine Cully
Agent, do you see it now? systematic generalisation in deep reinforcement learning
Borja G. Leon ⋅ Murray Shanahan ⋅ Francesco Belardinelli
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Zhao Yang ⋅ Thomas Moerland ⋅ Mike Preuss ⋅ Aske Plaat
On Credit Assignment in Hierarchical Reinforcement Learning
joery de Vries ⋅ Thomas Moerland ⋅ Aske Plaat
Neuroevolution of Recurrent Architectures on Control Tasks
Maximilien Le Clei ⋅ Pierre Bellec
Model-Value Inconsistency as a Signal for Epistemic Uncertainty
Angelos Filos ⋅ Eszter Vertes ⋅ Zita Marinho ⋅ Gregory Farquhar ⋅ Diana Borsa ⋅ Abram Friesen ⋅ Feryal Behbahani ⋅ Tom Schaul ⋅ Andre Barreto ⋅ Simon Osindero
An Empirical Investigation of Mutual Information Skill Learning
Faisal Mohamed ⋅ Benjamin Eysenbach ⋅ Ruslan Salakhutdinov