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Residual Skill Policies: Learning an Adaptable Skill-based Action Space
  for Reinforcement Learning for Robotics

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

4 November 2022
Krishan Rana
Ming Xu
Brendan Tidd
Michael Milford
Niko Sünderhauf
ArXivPDFHTML

Papers citing "Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics"

4 / 4 papers shown
Title
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
SEAL: Towards Safe Autonomous Driving via Skill-Enabled Adversary Learning for Closed-Loop Scenario Generation
Benjamin Stoler
Ingrid Navarro
Jonathan M Francis
Jean Oh
AAML
52
4
0
16 Sep 2024
Effective Reinforcement Learning Based on Structural Information
  Principles
Effective Reinforcement Learning Based on Structural Information Principles
Xianghua Zeng
Hao Peng
Dingli Su
Angsheng Li
30
0
0
15 Apr 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human
  Racing Gameplay
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
Catherine Weaver
Chen Tang
Ce Hao
Kenta Kawamoto
Masayoshi Tomizuka
Wei Zhan
OffRL
32
0
0
22 Feb 2024
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action
  Spaces
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces
Elie Aljalbout
Maximilian Karl
Patrick van der Smagt
19
5
0
28 Nov 2022
1