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Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

22 June 2020
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
ArXivPDFHTML

Papers citing "Learning with AMIGo: Adversarially Motivated Intrinsic Goals"

50 / 79 papers shown
Title
Reinforcement Teaching
Reinforcement Teaching
Alex Lewandowski
Calarina Muslimani
Dale Schuurmans
Matthew E. Taylor
Jun-Jie Luo
74
1
0
28 Jan 2025
Learning World Models for Unconstrained Goal Navigation
Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan
Wensen Mao
He Zhu
26
1
0
03 Nov 2024
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
Words as Beacons: Guiding RL Agents with High-Level Language Prompts
Unai Ruiz-Gonzalez
Alain Andres
Pedro G. Bascoy
Javier Del Ser
28
0
0
11 Oct 2024
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained
  Foundation Models
Fostering Intrinsic Motivation in Reinforcement Learning with Pretrained Foundation Models
Alain Andres
Javier Del Ser
OffRL
21
0
0
09 Oct 2024
A Single Goal is All You Need: Skills and Exploration Emerge from
  Contrastive RL without Rewards, Demonstrations, or Subgoals
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
Grace Liu
Michael Tang
Benjamin Eysenbach
OffRL
40
0
0
11 Aug 2024
Learning Formal Mathematics From Intrinsic Motivation
Learning Formal Mathematics From Intrinsic Motivation
Gabriel Poesia
David Broman
Nick Haber
Noah D. Goodman
LRM
20
9
0
30 Jun 2024
Explore-Go: Leveraging Exploration for Generalisation in Deep
  Reinforcement Learning
Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning
Max Weltevrede
Felix Kaubek
M. Spaan
Wendelin Bohmer
29
0
0
12 Jun 2024
Continuously evolving rewards in an open-ended environment
Continuously evolving rewards in an open-ended environment
Richard M. Bailey
18
1
0
02 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned
  Reinforcement Learning
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
18
0
0
19 Apr 2024
Rethinking Teacher-Student Curriculum Learning through the Cooperative
  Mechanics of Experience
Rethinking Teacher-Student Curriculum Learning through the Cooperative Mechanics of Experience
Manfred Diaz
Liam Paull
Andrea Tacchetti
24
0
0
03 Apr 2024
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
Chaitanya Kharyal
S. Gottipati
Tanmay Kumar Sinha
Srijita Das
Matthew E. Taylor
LLMAG
8
1
0
03 Jan 2024
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent
  Reinforcement Learning
From Centralized to Self-Supervised: Pursuing Realistic Multi-Agent Reinforcement Learning
Violet Xiang
Logan Cross
Jan-Philipp Fränken
Nick Haber
11
0
0
14 Dec 2023
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
19
1
0
12 Dec 2023
minimax: Efficient Baselines for Autocurricula in JAX
minimax: Efficient Baselines for Autocurricula in JAX
Minqi Jiang
Michael Dennis
Edward Grefenstette
Tim Rocktaschel
19
8
0
21 Nov 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic
  Forgetting in Curiosity
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
Jaedong Hwang
Zhang-Wei Hong
Eric Chen
Akhilan Boopathy
Pulkit Agrawal
Ila Fiete
CLL
23
5
0
26 Oct 2023
Iteratively Learn Diverse Strategies with State Distance Information
Iteratively Learn Diverse Strategies with State Distance Information
Wei Fu
Weihua Du
Jingwei Li
Sunli Chen
Jingzhao Zhang
Yi Wu
27
3
0
23 Oct 2023
Improve the efficiency of deep reinforcement learning through semantic
  exploration guided by natural language
Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language
Zhourui Guo
Meng Yao
Yang Yu
Qiyue Yin
OnRL
21
1
0
21 Sep 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual
  MDPs
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff
Minqi Jiang
Roberta Raileanu
17
13
0
05 Jun 2023
OMNI: Open-endedness via Models of human Notions of Interestingness
OMNI: Open-endedness via Models of human Notions of Interestingness
Jenny Zhang
Joel Lehman
Kenneth O. Stanley
Jeff Clune
LRM
6
27
0
02 Jun 2023
Selection for short-term empowerment accelerates the evolution of
  homeostatic neural cellular automata
Selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata
Caitlin Grasso
Josh Bongard
10
0
0
24 May 2023
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in
  ScienceWorld
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld
Laetitia Teodorescu
Eric Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
11
1
0
10 Feb 2023
Robust Subtask Learning for Compositional Generalization
Robust Subtask Learning for Compositional Generalization
Kishor Jothimurugan
Steve Hsu
Osbert Bastani
Rajeev Alur
OffRL
11
4
0
06 Feb 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
30
106
0
18 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward
  Shaping
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
A. Lazaric
Alahari Karteek
OffRL
26
17
0
05 Jan 2023
First Go, then Post-Explore: the Benefits of Post-Exploration in
  Intrinsic Motivation
First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
15
2
0
06 Dec 2022
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
10
1
0
28 Nov 2022
Exploring through Random Curiosity with General Value Functions
Exploring through Random Curiosity with General Value Functions
Aditya A. Ramesh
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
11
9
0
18 Nov 2022
Discrete Factorial Representations as an Abstraction for Goal
  Conditioned Reinforcement Learning
Discrete Factorial Representations as an Abstraction for Goal Conditioned Reinforcement Learning
Riashat Islam
Hongyu Zang
Anirudh Goyal
Alex Lamb
Kenji Kawaguchi
Xin-hui Li
Romain Laroche
Yoshua Bengio
Rémi Tachet des Combes
OffRL
AI4CE
15
9
0
01 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward
  Long-Horizon Goal-Conditioned Reinforcement Learning
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
21
3
0
28 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
53
8
0
23 Oct 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng
Danfei Xu
38
35
0
23 Oct 2022
Exploration via Elliptical Episodic Bonuses
Exploration via Elliptical Episodic Bonuses
Mikael Henaff
Roberta Raileanu
Minqi Jiang
Tim Rocktaschel
OffRL
11
39
0
11 Oct 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
DaeJin Jo
Sungwoong Kim
D. W. Nam
Taehwan Kwon
Seungeun Rho
Jongmin Kim
Donghoon Lee
OffRL
14
10
0
11 Oct 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
80
0
0
09 Sep 2022
Feasible Adversarial Robust Reinforcement Learning for Underspecified
  Environments
Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
JB Lanier
Stephen Marcus McAleer
Pierre Baldi
Roy Fox
13
10
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
41
13
0
11 Jul 2022
Automatic Exploration of Textual Environments with Language-Conditioned
  Autotelic Agents
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
Laetitia Teodorescu
Xingdi Yuan
Marc-Alexandre Côté
Pierre-Yves Oudeyer
LLMAG
14
0
0
08 Jul 2022
Walk the Random Walk: Learning to Discover and Reach Goals Without
  Supervision
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision
Lina Mezghani
Sainbayar Sukhbaatar
Piotr Bojanowski
Alahari Karteek
11
4
0
23 Jun 2022
Efficient entity-based reinforcement learning
Efficient entity-based reinforcement learning
Vince Jankovics
Michael Garcia Ortiz
Eduardo Alonso
OCL
OffRL
17
1
0
06 Jun 2022
An Evaluation Study of Intrinsic Motivation Techniques applied to
  Reinforcement Learning over Hard Exploration Environments
An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments
Alain Andres
Esther Villar-Rodriguez
Javier Del Ser
12
9
0
23 May 2022
Learning Generalized Policies Without Supervision Using GNNs
Learning Generalized Policies Without Supervision Using GNNs
Simon Ståhlberg
Blai Bonet
Hector Geffner
OffRL
19
27
0
12 May 2022
Semantic Exploration from Language Abstractions and Pretrained
  Representations
Semantic Exploration from Language Abstractions and Pretrained Representations
Allison C. Tam
Neil C. Rabinowitz
Andrew Kyle Lampinen
Nicholas A. Roy
Stephanie C. Y. Chan
D. Strouse
Jane X. Wang
Andrea Banino
Felix Hill
LM&Ro
13
67
0
08 Apr 2022
When to Go, and When to Explore: The Benefit of Post-Exploration in
  Intrinsic Motivation
When to Go, and When to Explore: The Benefit of Post-Exploration in Intrinsic Motivation
Zhao Yang
Thomas M. Moerland
Mike Preuss
Aske Plaat
10
1
0
29 Mar 2022
Perceiving the World: Question-guided Reinforcement Learning for
  Text-based Games
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games
Yunqiu Xu
Meng Fang
Ling Chen
Yali Du
Joey Tianyi Zhou
Chengqi Zhang
OffRL
21
19
0
20 Mar 2022
AutoDIME: Automatic Design of Interesting Multi-Agent Environments
AutoDIME: Automatic Design of Interesting Multi-Agent Environments
I. Kanitscheider
Harrison Edwards
17
0
0
04 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
18
114
0
02 Mar 2022
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum
  Generation
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation
Yuqing Du
Pieter Abbeel
Aditya Grover
23
18
0
22 Feb 2022
Improving Intrinsic Exploration with Language Abstractions
Improving Intrinsic Exploration with Language Abstractions
Jesse Mu
Victor Zhong
Roberta Raileanu
Minqi Jiang
Noah D. Goodman
Tim Rocktaschel
Edward Grefenstette
95
63
0
17 Feb 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
Open-Ended Reinforcement Learning with Neural Reward Functions
Robert Meier
Asier Mujika
24
7
0
16 Feb 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and
  Optimality
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
Jiawei Huang
Jinglin Chen
Li Zhao
Tao Qin
Nan Jiang
Tie-Yan Liu
OffRL
11
23
0
14 Feb 2022
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