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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"

13 / 13 papers shown
Title
A Domain-Agnostic Approach for Characterization of Lifelong Learning
  Systems
A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems
Megan M. Baker
Alexander New
Mario Aguilar-Simon
Ziad Al-Halah
Sébastien M. R. Arnold
...
Zifan Xu
A. Yanguas-Gil
Harel Yedidsion
Shangqun Yu
Gautam K. Vallabha
59
17
0
18 Jan 2023
Exploration in Deep Reinforcement Learning: A Survey
Exploration in Deep Reinforcement Learning: A Survey
Pawel Ladosz
Lilian Weng
Minwoo Kim
H. Oh
OffRL
66
352
0
02 May 2022
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
72
555
0
03 Dec 2019
Differentiable plasticity: training plastic neural networks with
  backpropagation
Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi
Jeff Clune
Kenneth O. Stanley
AI4CE
56
154
0
06 Apr 2018
Deep Learning for Video Game Playing
Deep Learning for Video Game Playing
Niels Justesen
Philip Bontrager
Julian Togelius
S. Risi
VLM
49
208
0
25 Aug 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,436
0
15 May 2017
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
813
11,894
0
09 Mar 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
155
1,535
0
25 Jan 2017
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
81
1,018
0
09 Nov 2016
Asynchronous Methods for Deep Reinforcement Learning
Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih
Adria Puigdomenech Badia
M. Berk Mirza
Alex Graves
Timothy Lillicrap
Tim Harley
David Silver
Koray Kavukcuoglu
191
8,850
0
04 Feb 2016
Memory-based control with recurrent neural networks
Memory-based control with recurrent neural networks
N. Heess
Jonathan J. Hunt
Timothy Lillicrap
David Silver
77
302
0
14 Dec 2015
Deep Recurrent Q-Learning for Partially Observable MDPs
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew J. Hausknecht
Peter Stone
104
1,679
0
23 Jul 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
121
12,223
0
19 Dec 2013
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