ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1901.01753
  4. Cited By
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly
  Complex and Diverse Learning Environments and Their Solutions

Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

7 January 2019
Rui Wang
Joel Lehman
Jeff Clune
Kenneth O. Stanley
ArXivPDFHTML

Papers citing "Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions"

50 / 60 papers shown
Title
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis
Akarsh Kumar
Jeff Clune
Joel Lehman
Kenneth O. Stanley
OOD
21
0
0
16 May 2025
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
CCL: Collaborative Curriculum Learning for Sparse-Reward Multi-Agent Reinforcement Learning via Co-evolutionary Task Evolution
Yufei Lin
Chengwei Ye
Jun Wang
Kangsheng Wang
Linuo Xu
Shuyan Liu
Zeyu Zhang
40
1
0
08 May 2025
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning
Taiwei Shi
Yiyang Wu
Linxin Song
Dinesh Manocha
Jieyu Zhao
LRM
83
1
0
07 Apr 2025
Causally Aligned Curriculum Learning
Causally Aligned Curriculum Learning
Mingxuan Li
Junzhe Zhang
Elias Bareinboim
CML
67
3
0
21 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning
Evolution and The Knightian Blindspot of Machine Learning
Joel Lehman
Elliot Meyerson
Tarek El-Gaaly
Kenneth O. Stanley
Tarin Ziyaee
88
2
0
22 Jan 2025
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting
  Diversity
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales
Stefanos Nikolaidis
AI4CE
31
0
0
07 Nov 2024
The Overcooked Generalisation Challenge
The Overcooked Generalisation Challenge
Constantin Ruhdorfer
Matteo Bortoletto
Anna Penzkofer
Andreas Bulling
48
4
0
25 Jun 2024
Massively Multiagent Minigames for Training Generalist Agents
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe
Ryan Sullivan
Joseph Suárez
AI4CE
34
0
0
07 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
40
22
0
06 Jun 2024
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z Leibo
GNN
31
28
0
22 May 2024
Building Open-Ended Embodied Agent via Language-Policy Bidirectional
  Adaptation
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation
Shaopeng Zhai
Jie Wang
Tianyi Zhang
Fuxian Huang
Qi Zhang
Ming Zhou
Jing Hou
Yu Qiao
Yu Liu
LLMAG
LM&Ro
37
1
0
12 Dec 2023
SDGym: Low-Code Reinforcement Learning Environments using System
  Dynamics Models
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
Emmanuel Klu
Sameer Sethi
DJ Passey
Donald Martin
AI4CE
SyDa
31
0
0
19 Oct 2023
GenSim: Generating Robotic Simulation Tasks via Large Language Models
GenSim: Generating Robotic Simulation Tasks via Large Language Models
Lirui Wang
Yiyang Ling
Zhecheng Yuan
Mohit Shridhar
Chen Bao
Yuzhe Qin
Bailin Wang
Huazhe Xu
Xiaolong Wang
LM&Ro
29
76
0
02 Oct 2023
Biomaker CA: a Biome Maker project using Cellular Automata
Biomaker CA: a Biome Maker project using Cellular Automata
E. Randazzo
A. Mordvintsev
VGen
33
6
0
18 Jul 2023
Learning to Transfer In-Hand Manipulations Using a Greedy Shape
  Curriculum
Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum
Yunbo Zhang
Alexander Clegg
Sehoon Ha
Greg Turk
Yuting Ye
39
8
0
14 Mar 2023
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large
  Multi-agent Environments
Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments
Hamon Gautier
Eleni Nisioti
Clément Moulin-Frier
31
2
0
18 Feb 2023
Hierarchically Composing Level Generators for the Creation of Complex
  Structures
Hierarchically Composing Level Generators for the Creation of Complex Structures
Michael Beukman
Manuel A. Fokam
Marcel Kruger
Guy Axelrod
Muhammad Umair Nasir
Branden Ingram
Benjamin Rosman
Steven D. James
40
9
0
03 Feb 2023
Multi-Agent Interplay in a Competitive Survival Environment
Multi-Agent Interplay in a Competitive Survival Environment
Andrea Fanti
23
0
0
19 Jan 2023
Generalization through Diversity: Improving Unsupervised Environment
  Design
Generalization through Diversity: Improving Unsupervised Environment Design
Wenjun Li
Pradeep Varakantham
Dexun Li
33
7
0
19 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space
Human-Timescale Adaptation in an Open-Ended Task Space
Adaptive Agent Team
Jakob Bauer
Kate Baumli
Satinder Baveja
Feryal M. P. Behbahani
...
Jakub Sygnowski
K. Tuyls
Sarah York
Alexander Zacherl
Lei Zhang
LM&Ro
OffRL
AI4CE
LRM
38
109
0
18 Jan 2023
Powderworld: A Platform for Understanding Generalization via Rich Task
  Distributions
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
Kevin Frans
Phillip Isola
OffRL
47
9
0
23 Nov 2022
Augmentative Topology Agents For Open-Ended Learning
Augmentative Topology Agents For Open-Ended Learning
Muhammad Umair Nasir
Michael Beukman
Steven D. James
C. Cleghorn
37
3
0
20 Oct 2022
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
29
12
0
19 Oct 2022
Bayesian Generational Population-Based Training
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
31
15
0
19 Jul 2022
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Grounding Aleatoric Uncertainty for Unsupervised Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Andrei Lupu
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
Jakob N. Foerster
43
13
0
11 Jul 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
51
352
0
17 Jun 2022
Deep Surrogate Assisted Generation of Environments
Deep Surrogate Assisted Generation of Environments
Varun Bhatt
Bryon Tjanaka
Matthew C. Fontaine
Stefanos Nikolaidis
56
35
0
09 Jun 2022
Transparent Serverless execution of Python multiprocessing applications
Transparent Serverless execution of Python multiprocessing applications
Aitor Arjona
Gerard Finol
Pedro García-López
30
11
0
18 May 2022
Learning to Guide Multiple Heterogeneous Actors from a Single Human
  Demonstration via Automatic Curriculum Learning in StarCraft II
Learning to Guide Multiple Heterogeneous Actors from a Single Human Demonstration via Automatic Curriculum Learning in StarCraft II
Nicholas R. Waytowich
James Z. Hare
Vinicius G. Goecks
Mark R. Mittrick
John Richardson
Anjon Basak
Derrik E. Asher
35
2
0
11 May 2022
Blocks Assemble! Learning to Assemble with Large-Scale Structured
  Reinforcement Learning
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning
Seyed Kamyar Seyed Ghasemipour
Daniel Freeman
Byron David
S. Gu
Satoshi Kataoka
Igor Mordatch
OffRL
27
25
0
15 Mar 2022
Evolving Curricula with Regret-Based Environment Design
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
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
46
11
0
01 Mar 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
37
7
0
16 Feb 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy
  Transfer
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
Xingyu Liu
Deepak Pathak
Kris Kitani
23
19
0
10 Feb 2022
Environment Generation for Zero-Shot Compositional Reinforcement
  Learning
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Izzeddin Gur
Natasha Jaques
Yingjie Miao
Jongwook Choi
Manoj Kumar Tiwari
Honglak Lee
Aleksandra Faust
36
43
0
21 Jan 2022
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
47
16
0
14 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task
OPEn: An Open-ended Physics Environment for Learning Without a Task
Chuang Gan
Abhishek Bhandwaldar
Antonio Torralba
J. Tenenbaum
Phillip Isola
LRM
133
4
0
13 Oct 2021
Replay-Guided Adversarial Environment Design
Replay-Guided Adversarial Environment Design
Minqi Jiang
Michael Dennis
Jack Parker-Holder
Jakob N. Foerster
Edward Grefenstette
Tim Rocktaschel
129
95
0
06 Oct 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
115
546
0
24 Sep 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Dropout's Dream Land: Generalization from Learned Simulators to Reality
Zac Wellmer
James T. Kwok
SyDa
24
9
0
17 Sep 2021
Few-shot Quality-Diversity Optimization
Few-shot Quality-Diversity Optimization
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
19
14
0
14 Sep 2021
Distributionally Robust Policy Learning via Adversarial Environment
  Generation
Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren
Anirudha Majumdar
OOD
96
15
0
13 Jul 2021
BR-NS: an Archive-less Approach to Novelty Search
BR-NS: an Archive-less Approach to Novelty Search
Achkan Salehi
Alexandre Coninx
Stéphane Doncieux
28
6
0
08 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL
Clément Romac
Rémy Portelas
Katja Hofmann
Pierre-Yves Oudeyer
27
21
0
17 Mar 2021
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary
  Approach
Automated Curriculum Learning for Embodied Agents: A Neuroevolutionary Approach
Nicola Milano
S. Nolfi
92
10
0
17 Feb 2021
Asymmetric self-play for automatic goal discovery in robotic
  manipulation
Asymmetric self-play for automatic goal discovery in robotic manipulation
OpenAI OpenAI
Matthias Plappert
Raul Sampedro
Tao Xu
Ilge Akkaya
...
Hyeonwoo Noh
Lilian Weng
Qiming Yuan
Casey Chu
Wojciech Zaremba
SSL
82
76
0
13 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
47
5
0
15 Dec 2020
EvoCraft: A New Challenge for Open-Endedness
EvoCraft: A New Challenge for Open-Endedness
Djordje Grbic
Rasmus Berg Palm
Elias Najarro
Claire Glanois
S. Risi
19
30
0
08 Dec 2020
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
35
8
0
16 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via
  Reset-Games
Continual Learning of Control Primitives: Skill Discovery via Reset-Games
Kelvin Xu
Siddharth Verma
Chelsea Finn
Sergey Levine
CLL
33
33
0
10 Nov 2020
12
Next