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1809.00510
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Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning
3 September 2018
Hugo Caselles-Dupré
Louis Annabi
Oksana Hagen
Michael Garcia Ortiz
David Filliat
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Papers citing
"Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning"
8 / 8 papers shown
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter
Jonathon S. Hare
Adam Prugel-Bennett
CoGe
DRL
335
21
0
18 Aug 2020
Learning Group Structure and Disentangled Representations of Dynamical Environments
Robin Quessard
Thomas D. Barrett
W. Clements
DRL
190
22
0
17 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents
Adaptive Agents and Multi-Agent Systems (AAMAS), 2020
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
252
4
0
13 Feb 2020
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
DRL
323
71
0
30 Mar 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
173
18
0
25 Feb 2019
State representation learning with recurrent capsule networks
Louis Annabi
Michael Garcia Ortiz
SSL
136
3
0
28 Dec 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
BDL
CLL
201
20
0
09 Oct 2018
Unsupervised Emergence of Spatial Structure from Sensorimotor Prediction
Alban Laflaquière
Michael Garcia Ortiz
276
3
0
02 Oct 2018
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