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A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents
v1v2 (latest)

A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents

3 July 2024
Andrew Liu
Alla Borisyuk
ArXiv (abs)PDFHTMLGithub

Papers citing "A Role of Environmental Complexity on Representation Learning in Deep Reinforcement Learning Agents"

12 / 12 papers shown
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning
BlendRL: A Framework for Merging Symbolic and Neural Policy LearningInternational Conference on Learning Representations (ICLR), 2024
Hikaru Shindo
Quentin Delfosse
Devendra Singh Dhami
Kristian Kersting
506
12
0
15 Oct 2024
Investigating Navigation Strategies in the Morris Water Maze through
  Deep Reinforcement Learning
Investigating Navigation Strategies in the Morris Water Maze through Deep Reinforcement LearningNeural Networks (Neural Netw.), 2023
A. Liu
Alla Borisyuk
366
16
0
01 Jun 2023
Understanding plasticity in neural networks
Understanding plasticity in neural networksInternational Conference on Machine Learning (ICML), 2023
Clare Lyle
Zeyu Zheng
Evgenii Nikishin
Bernardo Avila-Pires
Razvan Pascanu
Will Dabney
AI4CE
610
154
0
02 Mar 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning
The Dormant Neuron Phenomenon in Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023
Ghada Sokar
Rishabh Agarwal
Pablo Samuel Castro
Utku Evci
CLL
364
146
0
24 Feb 2023
On The Effect of Auxiliary Tasks on Representation Dynamics
On The Effect of Auxiliary Tasks on Representation DynamicsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Clare Lyle
Mark Rowland
Georg Ostrovski
Will Dabney
222
76
0
25 Feb 2021
A Geometric Perspective on Optimal Representations for Reinforcement
  Learning
A Geometric Perspective on Optimal Representations for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
238
95
0
31 Jan 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
1.2K
11,800
0
09 Feb 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
1.5K
26,289
0
20 Jul 2017
Learning to Navigate in Complex Environments
Learning to Navigate in Complex Environments
Piotr Wojciech Mirowski
Razvan Pascanu
Fabio Viola
Hubert Soyer
Andy Ballard
...
Ross Goroshin
Laurent Sifre
Koray Kavukcuoglu
D. Kumaran
R. Hadsell
636
945
0
11 Nov 2016
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement
  Learning
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michal Kempka
Marek Wydmuch
Grzegorz Runc
Jakub Toczek
Wojciech Ja'skowski
693
741
0
06 May 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
896
9,865
0
04 Feb 2016
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Dong Wang
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
1.1K
7,390
0
03 Sep 2014
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