Workshop
Workshop on Agent Learning in Open-Endedness
Minqi Jiang 路 Jack Parker-Holder 路 Michael D Dennis 路 Mikayel Samvelyan 路 Roberta Raileanu 路 Jakob Foerster 路 Edward Grefenstette 路 Tim Rocktaeschel
Fri 29 Apr, 1:45 a.m. PDT
Open-ended learning processes that co-evolve agents and their environments resulted in human intelligence, but producing such a system, which generates endless, meaningful novelty, remains an open problem in AI research. We hope our workshop provides a forum both for bridging knowledge across a diverse set of relevant fields as well as sparking new insights that can enable agent learning in open-endedness.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
Fri 1:45 a.m. - 2:00 a.m.
|
Introductory Remarks ( Introduction ) > link | Minqi Jiang 馃敆 |
Fri 2:00 a.m. - 2:30 a.m.
|
Open-Ended Learning Leads to Generally Capable Agents
(
Invited Talk
)
>
SlidesLive Video |
Wojciech M Czarnecki 馃敆 |
Fri 2:30 a.m. - 3:00 a.m.
|
Environments and Representations for Open-Ended Discovery ( Invited Talk ) > link | Sebastian Risi 馃敆 |
Fri 3:00 a.m. - 3:15 a.m.
|
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision ( Spotlight, Poster ) > link | Lina Mezghani 路 Piotr Bojanowski 路 Karteek Alahari 路 Sainbayar Sukhbaatar 馃敆 |
Fri 3:15 a.m. - 3:30 a.m.
|
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning
(
Spotlight, Poster
)
>
link
SlidesLive Video |
Yi Wan 路 Ali Rahimi-Kalahroudi 路 Janarthanan Rajendran 路 Ida Momennejad 路 Sarath Chandar 路 Harm van Seijen 馃敆 |
Fri 3:30 a.m. - 3:45 a.m.
|
Don't Freeze Your Embedding: Lessons from Policy Finetuning in Environment Transfer
(
Spotlight, Poster
)
>
link
SlidesLive Video |
Victoria Dean 路 Daniel Toyama 路 Doina Precup 馃敆 |
Fri 3:45 a.m. - 4:45 a.m.
|
Virtual Poster Session #1 ( Poster Session ) > link | 馃敆 |
Fri 4:45 a.m. - 5:30 a.m.
|
Lunch Break and Discussions link | 馃敆 |
Fri 5:30 a.m. - 6:00 a.m.
|
Using Quality-Diversity to Co-Learn Generators that Illuminate the Space of Agent Abilities ( Invited Talk ) > link | Sam Earle 馃敆 |
Fri 6:00 a.m. - 6:30 a.m.
|
General Infomax Agents through World Models
(
Invited Talk
)
>
SlidesLive Video |
Danijar Hafner 馃敆 |
Fri 6:30 a.m. - 7:00 a.m.
|
Virtual Coffee Break link | 馃敆 |
Fri 7:00 a.m. - 8:00 a.m.
|
Live Panel Discussion #1 ( Discussion Panel ) > link | 馃敆 |
Fri 8:00 a.m. - 8:15 a.m.
|
Virtual Coffee Break link | 馃敆 |
Fri 8:15 a.m. - 8:30 a.m.
|
Accelerated Quality-Diversity for Robotics through Massive Parallelism
(
Spotlight, Poster
)
>
link
SlidesLive Video |
Bryan Lim 路 Maxime Allard 路 Luca Grillotti 路 Antoine Cully 馃敆 |
Fri 8:30 a.m. - 8:45 a.m.
|
DSA-ME: Deep Surrogate Assisted MAP-Elites
(
Spotlight, Poster
)
>
link
SlidesLive Video |
Yulun Zhang 路 Matthew Fontaine 路 Amy Hoover 路 Stefanos Nikolaidis 馃敆 |
Fri 8:45 a.m. - 9:00 a.m.
|
Differentiable Quality Diversity for Reinforcement Learning by Approximating Gradients
(
Spotlight, Poster
)
>
link
SlidesLive Video |
Bryon Tjanaka 路 Matthew Fontaine 路 Julian Togelius 路 Stefanos Nikolaidis 馃敆 |
Fri 9:00 a.m. - 9:30 a.m.
|
Beyond Agents and Environments? ( Invited Talk ) > link | Julian Togelius 馃敆 |
Fri 9:30 a.m. - 10:00 a.m.
|
Emergent Complexity and Zero-Shot Transfer with PAIRED ( Invited Talk ) > link | Natasha Jaques 馃敆 |
Fri 10:00 a.m. - 10:15 a.m.
|
Virtual Coffee Break link | 馃敆 |
Fri 10:15 a.m. - 10:45 a.m.
|
Open Questions in Creating Safe Open-Ended AI: Tensions Between Control and Creativity ( Invited Talk ) > link | Joel Lehman 馃敆 |
Fri 10:45 a.m. - 11:15 a.m.
|
Why Open-Endedness Matters to Machine Learning
(
Invited Talk
)
>
SlidesLive Video |
Kenneth Stanley 馃敆 |
Fri 11:15 a.m. - 12:15 p.m.
|
Live Panel Discussion #2 ( Discussion Panel ) > link | 馃敆 |
Fri 12:15 p.m. - 12:25 p.m.
|
Closing Remarks ( Conclusion ) > link | 馃敆 |
Fri 12:25 p.m. - 1:15 p.m.
|
Virtual Poster Session #2 ( Poster Session ) > link | 馃敆 |
-
|
Meta-World Conditional Neural Processes
(
Poster
)
>
link
SlidesLive Video |
Suzan Ece Ada 路 Emre Ugur 馃敆 |
-
|
A little taxonomy of open-endedness ( Poster ) > link | Asiiah Song 馃敆 |
-
|
Dojo: A Large Scale Benchmark for Multi-Task Reinforcement Learning ( Poster ) > link | Dominik Schmidt 馃敆 |
-
|
Streaming Inference for Infinite Non-Stationary Clustering ( Poster ) > link | Rylan Schaeffer 路 Gabrielle Liu 路 Yilun Du 路 Scott Linderman 路 Ila Fiete 馃敆 |
-
|
Ensemble Learning as a Peer Process
(
Poster
)
>
link
SlidesLive Video |
Ehsan Beikihassan 路 Ali Parviz 路 Amy Hoover 路 Ioannis Koutis 馃敆 |
-
|
Watts: Infrastructure for Open-Ended Learning ( Poster ) > link | Aaron Dharna 路 Charlie Summers 路 Rohin Dasari 路 Julian Togelius 路 Amy Hoover 馃敆 |
-
|
Generalization Games for Reinforcement Learning ( Poster ) > link | Manfred Diaz 路 Charlie Gauthier 路 Glen Berseth 路 Liam Paull 馃敆 |
-
|
A Study of Off-Policy Learning in Environments with Procedural Content Generation ( Poster ) > link | Andrew Ehrenberg 路 Robert Kirk 路 Minqi Jiang 路 Edward Grefenstette 路 Tim Rocktaeschel 馃敆 |
-
|
SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning ( Poster ) > link | Michael Matthews 路 Mikayel Samvelyan 路 Jack Parker-Holder 路 Edward Grefenstette 路 Tim Rocktaeschel 馃敆 |
-
|
Meta-Gradients in Non-Stationary Environments
(
Poster
)
>
link
SlidesLive Video |
Jelena Luketina 路 Sebastian Flennerhag 路 Yannick Schroecker 路 David Abel 路 Tom Zahavy 馃敆 |
-
|
Bayesian Generational Population-Based Training ( Poster ) > link | Xingchen Wan 路 Cong Lu 路 Jack Parker-Holder 路 Philip Ball 路 Vu Nguyen 路 Binxin Ru 路 Michael Osborne 馃敆 |
-
|
Open-Ended Reinforcement Learning with Neural Reward Functions
(
Poster
)
>
link
SlidesLive Video |
Robert Meier 路 Asier Mujika 馃敆 |
-
|
Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization ( Poster ) > link | Thomas PIERROT 路 Valentin Mac茅 路 Felix Chalumeau 路 Arthur Flajolet 路 Geoffrey Cideron 路 Karim Beguir 路 Antoine Cully 路 Olivier Sigaud 路 Nicolas Perrin-Gilbert 馃敆 |
-
|
Discovering Unsupervised Behaviours from Full State Trajectories
(
Poster
)
>
link
SlidesLive Video |
Luca Grillotti 路 Antoine Cully 馃敆 |
-
|
Specialization and Exchange in Neural MMO ( Poster ) > link | Joseph Suarez 路 Phillip Isola 馃敆 |
-
|
Subjective Learning for Conflicting Data
(
Poster
)
>
link
SlidesLive Video |
Tianren Zhang 路 Yizhou Jiang 路 Xin Su 路 Shangqi Guo 路 Chongkai Gao 路 Feng Chen 馃敆 |
-
|
Zero-Shot Reward Specification via Grounded Natural Language ( Poster ) > link | Parsa Mahmoudieh 路 Deepak Pathak 路 trevor darrell 馃敆 |
-
|
Learning Object-Centered Autotelic Behaviors with Graph Neural Networks
(
Poster
)
>
link
SlidesLive Video |
Ahmed Akakzia 路 Olivier Sigaud 馃敆 |
-
|
Learning to Walk Autonomously via Reset-Free Quality-Diversity
(
Poster
)
>
link
SlidesLive Video |
Bryan Lim 路 Alexander Reichenbach 路 Antoine Cully 馃敆 |
-
|
Agent, do you see it now? systematic generalisation in deep reinforcement learning
(
Poster
)
>
link
SlidesLive Video |
Borja G. Leon 路 Murray Shanahan 路 Francesco Belardinelli 馃敆 |
-
|
Mixture-of-Variational-Experts for Continual Learning ( Poster ) > link | Heinke Hihn 路 Daniel Braun 馃敆 |
-
|
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire ( Poster ) > link | Siddhartha Datta 路 Nigel Shadbolt 馃敆 |
-
|
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
(
Poster
)
>
link
SlidesLive Video |
Zhao Yang 路 Thomas Moerland 路 Mike Preuss 路 Aske Plaat 馃敆 |
-
|
On Credit Assignment in Hierarchical Reinforcement Learning ( Poster ) > link | joery de Vries 路 Thomas Moerland 路 Aske Plaat 馃敆 |
-
|
Neuroevolution of Recurrent Architectures on Control Tasks
(
Poster
)
>
link
SlidesLive Video |
Maximilien Le Clei 路 Pierre Bellec 馃敆 |
-
|
Model-Value Inconsistency as a Signal for Epistemic Uncertainty ( Poster ) > link | Angelos Filos 路 Eszter Vertes 路 Zita Marinho 路 Gregory Farquhar 路 Diana Borsa 路 Abram Friesen 路 Feryal Behbahani 路 Tom Schaul 路 Andre Barreto 路 Simon Osindero 馃敆 |
-
|
An Empirical Investigation of Mutual Information Skill Learning
(
Poster
)
>
link
SlidesLive Video |
Faisal Mohamed 路 Benjamin Eysenbach 路 Ruslan Salakhutdinov 馃敆 |