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Continual Reinforcement Learning with TELLA

Continual Reinforcement Learning with TELLA

8 August 2022
Neil Fendley
Cash Costello
Eric Q. Nguyen
Gino Perrotta
Corey Lowman
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Reinforcement Learning with TELLA"

15 / 15 papers shown
Title
Avalanche RL: a Continual Reinforcement Learning Library
Avalanche RL: a Continual Reinforcement Learning Library
Nicolo Lucchesi
Antonio Carta
Vincenzo Lomonaco
Davide Bacciu
69
6
0
28 Feb 2022
Lifelong Learning Metrics
Lifelong Learning Metrics
Alexander New
Megan M. Baker
Eric Q. Nguyen
Gautam K. Vallabha
44
17
0
20 Jan 2022
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and
  Practical Perspectives
ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives
Toshinori Kitamura
Ryo Yonetani
OffRL
126
4
0
08 Dec 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual
  Reinforcement Learning Agents
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents
Sam Powers
Eliot Xing
Eric Kolve
Roozbeh Mottaghi
Abhinav Gupta
OffRL
98
40
0
19 Oct 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Aaron Courville
Marc G. Bellemare
OffRL
130
676
0
30 Aug 2021
Towards Continual Reinforcement Learning: A Review and Perspectives
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal
Matthew D Riemer
Irina Rish
Doina Precup
CLLOffRL
111
324
0
25 Dec 2020
Measuring the Reliability of Reinforcement Learning Algorithms
Measuring the Reliability of Reinforcement Learning Algorithms
Stephanie C. Y. Chan
Sam Fishman
John F. Canny
Anoop Korattikara Balan
S. Guadarrama
63
84
0
10 Dec 2019
Leveraging Procedural Generation to Benchmark Reinforcement Learning
Leveraging Procedural Generation to Benchmark Reinforcement Learning
K. Cobbe
Christopher Hesse
Jacob Hilton
John Schulman
87
557
0
03 Dec 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
OffRL
256
1,182
0
24 Oct 2019
Progress & Compress: A scalable framework for continual learning
Progress & Compress: A scalable framework for continual learning
Jonathan Richard Schwarz
Jelena Luketina
Wojciech M. Czarnecki
A. Grabska-Barwinska
Yee Whye Teh
Razvan Pascanu
R. Hadsell
CLL
129
889
0
16 May 2018
Continual Lifelong Learning with Neural Networks: A Review
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELMCLL
205
2,899
0
21 Feb 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
133
2,830
0
19 Aug 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
553
19,296
0
20 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
225
5,087
0
05 Jun 2016
The Arcade Learning Environment: An Evaluation Platform for General
  Agents
The Arcade Learning Environment: An Evaluation Platform for General Agents
Marc G. Bellemare
Yavar Naddaf
J. Veness
Michael Bowling
120
3,021
0
19 Jul 2012
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