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Exploiting Contextual Structure to Generate Useful Auxiliary Tasks

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks

Benedict Quartey
Ankit Shah
George Konidaris
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Papers citing "Exploiting Contextual Structure to Generate Useful Auxiliary Tasks"

6 / 6 papers shown
Title
Verifiably Following Complex Robot Instructions with Foundation Models
Verifiably Following Complex Robot Instructions with Foundation Models
Benedict Quartey
Eric Rosen
Stefanie Tellex
George Konidaris
LM&Ro
47
11
0
18 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
M. Pternea
Prerna Singh
Abir Chakraborty
Y. Oruganti
M. Milletarí
Sayli Bapat
Kebei Jiang
OffRL
21
7
0
02 Feb 2024
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey
Chao Yu
Xuejing Zheng
H. Zhuo
OffRL
LRM
55
7
0
24 Apr 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
313
11,953
0
04 Mar 2022
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRL
AI4CE
42
73
0
13 Feb 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
152
458
0
10 Mar 2020