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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
29 March 2021
Sharada Mohanty
Jyotish Poonganam
Adrien Gaidon
Andrey Kolobov
Blake Wulfe
Dipam Chakraborty
Gravzvydas vSemetulskis
João Schapke
J. Kubilius
Jurgis Pavsukonis
Linas Klimas
Matthew J. Hausknecht
Patrick MacAlpine
Quang Nhat Tran
Thomas Tumiel
Xiaocheng Tang
Xinwei Chen
Christopher Hesse
Jacob Hilton
William H. Guss
Sahika Genc
John Schulman
K. Cobbe
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Papers citing
"Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark"
7 / 7 papers shown
Title
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Yangkun Chen
Joseph Suárez
Junjie Zhang
Chenghui Yu
Bo Wu
...
Sharada Mohanty
Jiaxin Chen
Xiu Li
Xiaolong Zhu
Phillip Isola
32
0
0
30 Aug 2023
Transformers in Reinforcement Learning: A Survey
Pranav Agarwal
A. Rahman
P. St-Charles
Simon J. D. Prince
Samira Ebrahimi Kahou
OffRL
30
19
0
12 Jul 2023
Hyperbolic Deep Reinforcement Learning
Edoardo Cetin
B. Chamberlain
Michael M. Bronstein
Jonathan J. Hunt
43
21
0
04 Oct 2022
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN
Peizheng Li
Jonathan D. Thomas
Xiaoyang Wang
Ahmed Khalil
A. Ahmad
...
S. Kapoor
Arjun Parekh
A. Doufexi
Arman Shojaeifard
Robert Piechocki
AI4TS
14
37
0
12 Nov 2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Young Geun Kim
Carole-Jean Wu
26
85
0
16 Jul 2021
Heuristic-Guided Reinforcement Learning
Ching-An Cheng
Andrey Kolobov
Adith Swaminathan
OffRL
35
61
0
05 Jun 2021
Learning to Run challenge: Synthesizing physiologically accurate motion using deep reinforcement learning
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Jennifer Hicks
Sean F. Carroll
Sergey Levine
M. Salathé
Scott L. Delp
29
60
0
31 Mar 2018
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