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Adversarially Guided Actor-Critic

Adversarially Guided Actor-Critic

8 February 2021
Yannis Flet-Berliac
Johan Ferret
Olivier Pietquin
Philippe Preux
M. Geist
ArXivPDFHTML

Papers citing "Adversarially Guided Actor-Critic"

13 / 13 papers shown
Title
CSAOT: Cooperative Multi-Agent System for Active Object Tracking
CSAOT: Cooperative Multi-Agent System for Active Object Tracking
Hy Nguyen
Bao Pham
Hung Du
Srikanth Thudumu
Rajesh Vasa
K. Mouzakis
42
1
0
23 Jan 2025
Exploration by Learning Diverse Skills through Successor State Measures
Exploration by Learning Diverse Skills through Successor State Measures
Paul-Antoine Le Tolguenec
Yann Besse
Florent Teichteil-Königsbuch
Dennis G. Wilson
Emmanuel Rachelson
40
0
0
14 Jun 2024
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent
  Deep Reinforcement Learning
Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau
Nicolas Bredeche
F. Benamar
Jae-Yun Jun
36
1
0
06 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty
  Sharing
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
Haobin Jiang
Ziluo Ding
Zongqing Lu
24
2
0
03 Feb 2024
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic
  Manipulation Tasks
Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
Wenke Huang
Filippos Christianos
Zhibin Li
40
8
0
28 Sep 2023
CIM: Constrained Intrinsic Motivation for Sparse-Reward Continuous Control
Xiang Zheng
Xingjun Ma
Cong Wang
28
1
0
28 Nov 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 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
57
9
0
23 Oct 2022
Exploration via Elliptical Episodic Bonuses
Exploration via Elliptical Episodic Bonuses
Mikael Henaff
Roberta Raileanu
Minqi Jiang
Tim Rocktaschel
OffRL
29
40
0
11 Oct 2022
Programmatic Reward Design by Example
Programmatic Reward Design by Example
Weichao Zhou
Wenchao Li
34
15
0
14 Dec 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning
  Research
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Mikayel Samvelyan
Robert Kirk
Vitaly Kurin
Jack Parker-Holder
Minqi Jiang
Eric Hambro
Fabio Petroni
Heinrich Küttler
Edward Grefenstette
Tim Rocktaschel
OffRL
238
89
0
27 Sep 2021
Explore and Control with Adversarial Surprise
Explore and Control with Adversarial Surprise
Arnaud Fickinger
Natasha Jaques
Samyak Parajuli
Michael Chang
Nicholas Rhinehart
Glen Berseth
Stuart J. Russell
Sergey Levine
40
8
0
12 Jul 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
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