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Does Zero-Shot Reinforcement Learning Exist?

Does Zero-Shot Reinforcement Learning Exist?

29 September 2022
Ahmed Touati
Jérémy Rapin
Yann Ollivier
    OffRL
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Papers citing "Does Zero-Shot Reinforcement Learning Exist?"

29 / 29 papers shown
Title
Constructing an Optimal Behavior Basis for the Option Keyboard
Constructing an Optimal Behavior Basis for the Option Keyboard
L. N. Alegre
A. Bazzan
André Barreto
Bruno C. da Silva
14
0
0
01 May 2025
Temporal Difference Flows
Jesse Farebrother
Matteo Pirotta
Andrea Tirinzoni
Rémi Munos
A. Lazaric
Ahmed Touati
AI4TS
AIFin
50
0
0
12 Mar 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
39
1
0
11 Nov 2024
Few-Shot Task Learning through Inverse Generative Modeling
Few-Shot Task Learning through Inverse Generative Modeling
Aviv Netanyahu
Yilun Du
Antonia Bronars
Jyothish Pari
J. Tenenbaum
Tianmin Shu
Pulkit Agrawal
44
1
0
07 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson
Qiyang Li
Kevin Frans
Sergey Levine
SSL
OffRL
OnRL
54
0
0
23 Oct 2024
Unsupervised-to-Online Reinforcement Learning
Unsupervised-to-Online Reinforcement Learning
Junsu Kim
Seohong Park
Sergey Levine
OnRL
48
3
0
27 Aug 2024
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional
  Risk
CAT: Caution Aware Transfer in Reinforcement Learning via Distributional Risk
Mohamad Fares El Hajj Chehade
Amrit Singh Bedi
Amy Zhang
Hao Zhu
OffRL
AAML
33
0
0
16 Aug 2024
Disentangled Representations for Causal Cognition
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
24
1
0
30 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
37
1
0
01 Jun 2024
Ensemble Successor Representations for Task Generalization in
  Offline-to-Online Reinforcement Learning
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
Changhong Wang
Xudong Yu
Chenjia Bai
Qiaosheng Zhang
Zhen Wang
38
1
0
12 May 2024
On the Sample Efficiency of Abstractions and Potential-Based Reward
  Shaping in Reinforcement Learning
On the Sample Efficiency of Abstractions and Potential-Based Reward Shaping in Reinforcement Learning
Giuseppe Canonaco
Leo Ardon
Alberto Pozanco
Daniel Borrajo
OffRL
16
1
0
11 Apr 2024
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward
  Encodings
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings
Kevin Frans
Seohong Park
Pieter Abbeel
Sergey Levine
OffRL
32
10
0
27 Feb 2024
Foundation Policies with Hilbert Representations
Foundation Policies with Hilbert Representations
Seohong Park
Tobias Kreiman
Sergey Levine
SSL
OffRL
36
18
0
23 Feb 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport
Align Your Intents: Offline Imitation Learning via Optimal Transport
Maksim Bobrin
N. Buzun
Dmitrii Krylov
Dmitry V. Dylov
OffRL
28
3
0
20 Feb 2024
A Distributional Analogue to the Successor Representation
A Distributional Analogue to the Successor Representation
Harley Wiltzer
Jesse Farebrother
Arthur Gretton
Yunhao Tang
André Barreto
Will Dabney
Marc G. Bellemare
Mark Rowland
23
5
0
13 Feb 2024
Goal-conditioned Offline Planning from Curious Exploration
Goal-conditioned Offline Planning from Curious Exploration
Marco Bagatella
Georg Martius
OffRL
16
1
0
28 Nov 2023
Learning Successor Features with Distributed Hebbian Temporal Memory
Learning Successor Features with Distributed Hebbian Temporal Memory
E. Dzhivelikian
Petr Kuderov
Aleksandr I. Panov
17
0
0
20 Oct 2023
Proper Laplacian Representation Learning
Proper Laplacian Representation Learning
Diego Gomez
Michael H. Bowling
Marlos C. Machado
8
0
0
16 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
23
33
0
13 Oct 2023
Zero-Shot Reinforcement Learning from Low Quality Data
Zero-Shot Reinforcement Learning from Low Quality Data
Scott Jeen
Tom Bewley
Jonathan M. Cullen
OffRL
OnRL
30
0
0
26 Sep 2023
A State Representation for Diminishing Rewards
A State Representation for Diminishing Rewards
Ted Moskovitz
Samo Hromadka
Ahmed Touati
Diana Borsa
M. Sahani
11
2
0
07 Sep 2023
Maximum State Entropy Exploration using Predecessor and Successor
  Representations
Maximum State Entropy Exploration using Predecessor and Successor Representations
A. Jain
Lucas Lehnert
Irina Rish
Glen Berseth
18
13
0
26 Jun 2023
A Cookbook of Self-Supervised Learning
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
31
270
0
24 Apr 2023
Controllability-Aware Unsupervised Skill Discovery
Controllability-Aware Unsupervised Skill Discovery
Seohong Park
Kimin Lee
Youngwoon Lee
Pieter Abbeel
14
43
0
10 Feb 2023
Deep Laplacian-based Options for Temporally-Extended Exploration
Deep Laplacian-based Options for Temporally-Extended Exploration
Martin Klissarov
Marlos C. Machado
OffRL
14
17
0
26 Jan 2023
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
Sai Rajeswar
Pietro Mazzaglia
Tim Verbelen
Alexandre Piché
Bart Dhoedt
Aaron C. Courville
Alexandre Lacoste
SSL
8
20
0
24 Sep 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
17
2
0
28 Aug 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
Michael Laskin
Hao Liu
Xue Bin Peng
Denis Yarats
Aravind Rajeswaran
Pieter Abbeel
SSL
74
65
0
01 Feb 2022
Learning Successor States and Goal-Dependent Values: A Mathematical
  Viewpoint
Learning Successor States and Goal-Dependent Values: A Mathematical Viewpoint
Léonard Blier
Corentin Tallec
Yann Ollivier
46
30
0
18 Jan 2021
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