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The configurable tree graph (CT-graph): measurable problems in partially
  observable and distal reward environments for lifelong reinforcement learning

The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning

21 January 2023
Andrea Soltoggio
Eseoghene Ben-Iwhiwhu
Christos Peridis
Pawel Ladosz
Jeffery Dick
Praveen K. Pilly
Soheil Kolouri
    OffRL
ArXivPDFHTML

Papers citing "The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning"

2 / 2 papers shown
Title
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
226
89
0
27 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
1