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2107.12808
Cited By
Open-Ended Learning Leads to Generally Capable Agents
27 July 2021
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
Jakob Bauer
Jakub Sygnowski
Maja Trebacz
Max Jaderberg
Michaël Mathieu
Nat McAleese
N. Bradley-Schmieg
Nathaniel Wong
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
Re-assign community
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Papers citing
"Open-Ended Learning Leads to Generally Capable Agents"
34 / 134 papers shown
Title
IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents
Artem Zholus
Alexey Skrynnik
Shrestha Mohanty
Zoya Volovikova
Julia Kiseleva
Artur Szlam
Marc-Alexandre Côté
Aleksandr I. Panov
VLM
LM&Ro
AI4CE
25
13
0
31 May 2022
ARLO: A Framework for Automated Reinforcement Learning
Marco Mussi
Davide Lombarda
Alberto Maria Metelli
F. Trovò
Marcello Restelli
OffRL
31
4
0
20 May 2022
MIDGARD: A Simulation Platform for Autonomous Navigation in Unstructured Environments
Giuseppe Vecchio
S. Palazzo
D. Guastella
Ignacio Carlucho
Stefano V. Albrecht
Giovanni Muscato
C. Spampinato
19
0
0
17 May 2022
Watts: Infrastructure for Open-Ended Learning
Aaron Dharna
Charlie Summers
Rohin Dasari
Julian Togelius
Amy K. Hoover
22
1
0
28 Apr 2022
Collaborative Auto-Curricula Multi-Agent Reinforcement Learning with Graph Neural Network Communication Layer for Open-ended Wildfire-Management Resource Distribution
P. D. Siedler
AI4CE
9
3
0
24 Apr 2022
SOTVerse: A User-defined Task Space of Single Object Tracking
Shi-chang Hu
Xin Zhao
Kaiqi Huang
30
11
0
15 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind
Jaan Aru
Aqeel Labash
Oriol Corcoll
Raul Vicente
28
26
0
30 Mar 2022
On the link between conscious function and general intelligence in humans and machines
Arthur Juliani
Kai Arulkumaran
Shuntaro Sasai
Ryota Kanai
34
24
0
24 Mar 2022
The Sandbox Environment for Generalizable Agent Research (SEGAR)
R. Devon Hjelm
Bogdan Mazoure
Florian Golemo
Felipe Vieira Frujeri
Mihai Jalobeanu
Andrey Kolobov
LLMAG
LRM
21
1
0
19 Mar 2022
L2Explorer: A Lifelong Reinforcement Learning Assessment Environment
Erik C. Johnson
Eric Q. Nguyen
B. Schreurs
Chigozie Ewulum
C. Ashcraft
Neil Fendley
Megan M. Baker
Alexander New
Gautam K. Vallabha
19
9
0
14 Mar 2022
Human-Like Navigation Behavior: A Statistical Evaluation Framework
Ian Colbert
Mehdi Saeedi
17
1
0
10 Mar 2022
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder
Minqi Jiang
Michael Dennis
Mikayel Samvelyan
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
31
117
0
02 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural General Intelligence Team
Avishkar Bhoopchand
Bethanie Brownfield
Adrian Collister
Agustin Dal Lago
...
Alex Platonov
Evan Senter
Sukhdeep Singh
Alexander Zacherl
Lei M. Zhang
VLM
44
11
0
01 Mar 2022
Plasticity and evolvability under environmental variability: the joint role of fitness-based selection and niche-limited competition
Eleni Nisioti
Clément Moulin-Frier
22
2
0
17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
A Survey on Safety-Critical Driving Scenario Generation -- A Methodological Perspective
Wenhao Ding
Chejian Xu
Mansur Arief
Hao-ming Lin
Bo-wen Li
Ding Zhao
30
144
0
04 Feb 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Jack Parker-Holder
Raghunandan Rajan
Xingyou Song
André Biedenkapp
Yingjie Miao
...
Vu-Linh Nguyen
Roberto Calandra
Aleksandra Faust
Frank Hutter
Marius Lindauer
AI4CE
33
100
0
11 Jan 2022
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
Xiao-Yang Liu
Jingyang Rui
Jiechao Gao
Liuqing Yang
Hongyang Yang
Zhaoran Wang
Chris Wang
Jian Guo
AIFin
OffRL
AI4CE
9
11
0
13 Dec 2021
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review
Richa Upadhyay
Ronald Phlypo
Rajkumar Saini
Marcus Liwicki
CLL
21
5
0
23 Nov 2021
A Survey of Zero-shot Generalisation in Deep Reinforcement Learning
Robert Kirk
Amy Zhang
Edward Grefenstette
Tim Rocktaschel
OffRL
17
155
0
18 Nov 2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions
Anuj Mahajan
Mikayel Samvelyan
Lei Mao
Viktor Makoviychuk
Animesh Garg
Jean Kossaifi
Shimon Whiteson
Yuke Zhu
Anima Anandkumar
27
9
0
27 Oct 2021
Model based Multi-agent Reinforcement Learning with Tensor Decompositions
Pascal R. van der Vaart
Anuj Mahajan
Shimon Whiteson
AI4CE
31
8
0
27 Oct 2021
What Would Jiminy Cricket Do? Towards Agents That Behave Morally
Dan Hendrycks
Mantas Mazeika
Andy Zou
Sahil Patel
Christine Zhu
Jesus Navarro
D. Song
Bo-wen Li
Jacob Steinhardt
16
58
0
25 Oct 2021
TiKick: Towards Playing Multi-agent Football Full Games from Single-agent Demonstrations
Shiyu Huang
Wenze Chen
Longfei Zhang
Shizhen Xu
Ziyang Li
Fengming Zhu
Deheng Ye
Tingling Chen
Jun Zhu
OffRL
37
25
0
09 Oct 2021
Illuminating Diverse Neural Cellular Automata for Level Generation
Sam Earle
J. Snider
Matthew C. Fontaine
Stefanos Nikolaidis
Julian Togelius
42
37
0
12 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms
Ruizhi Chen
Xiaoyu Wu
Yansong Pan
Kaizhao Yuan
Ling Li
...
Shaohui Peng
Xishan Zhang
Zidong Du
Qi Guo
Yunji Chen
OffRL
32
3
0
04 Sep 2021
Transformers predicting the future. Applying attention in next-frame and time series forecasting
Radostin Cholakov
T. Kolev
AI4TS
22
16
0
18 Aug 2021
Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa
Ilija Bogunovic
Andreas Krause
Maryam Kamgarpour
52
21
0
13 Jul 2021
Multi-Agent Curricula and Emergent Implicit Signaling
Niko A. Grupen
Daniel D. Lee
B. Selman
24
5
0
21 Jun 2021
Neural Auto-Curricula
Xidong Feng
Oliver Slumbers
Bo Liu
Bo Liu
Stephen Marcus McAleer
Ying Wen
Jun Wang
Yaodong Yang
21
1
0
04 Jun 2021
Towards Teachable Autotelic Agents
Olivier Sigaud
Ahmed Akakzia
Hugo Caselles-Dupré
Cédric Colas
Pierre-Yves Oudeyer
Mohamed Chetouani
21
7
0
25 May 2021
Symbolic Behaviour in Artificial Intelligence
Adam Santoro
Andrew Kyle Lampinen
Kory W. Mathewson
Timothy Lillicrap
David Raposo
19
34
0
05 Feb 2021
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
Cédric Colas
Tristan Karch
Olivier Sigaud
Pierre-Yves Oudeyer
29
85
0
17 Dec 2020
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan
Tabish Rashid
Mikayel Samvelyan
Shimon Whiteson
DRL
140
355
0
16 Oct 2019
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