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Benchmarking Reinforcement Learning Algorithms on Real-World Robots

Benchmarking Reinforcement Learning Algorithms on Real-World Robots

20 September 2018
A. R. Mahmood
D. Korenkevych
Gautham Vasan
W. Ma
James Bergstra
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Reinforcement Learning Algorithms on Real-World Robots"

22 / 22 papers shown
Title
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Learning more with the same effort: how randomization improves the robustness of a robotic deep reinforcement learning agent
Lucía Güitta-López
Jaime Boal
Álvaro J. López-López
111
5
0
24 Jan 2025
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
Bryan Chan
Anson Leung
James Bergstra
OffRLOnRL
138
0
0
19 Oct 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
Daniel Mayfrank
Na Young Ahn
Alexander Mitsos
Manuel Dahmen
134
2
0
21 Mar 2024
Setting up a Reinforcement Learning Task with a Real-World Robot
Setting up a Reinforcement Learning Task with a Real-World Robot
A. R. Mahmood
D. Korenkevych
Brent Komer
James Bergstra
76
77
0
19 Mar 2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Learning by Playing - Solving Sparse Reward Tasks from Scratch
Martin Riedmiller
Roland Hafner
Thomas Lampe
Michael Neunert
Jonas Degrave
T. Wiele
Volodymyr Mnih
N. Heess
Jost Tobias Springenberg
95
449
0
28 Feb 2018
Reactive Reinforcement Learning in Asynchronous Environments
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik
K. Mathewson
R. Sutton
P. Pilarski
59
31
0
16 Feb 2018
DeepMind Control Suite
DeepMind Control Suite
Yuval Tassa
Yotam Doron
Alistair Muldal
Tom Erez
Yazhe Li
...
A. Abdolmaleki
J. Merel
Andrew Lefrancq
Timothy Lillicrap
Martin Riedmiller
ELMLM&RoBDL
152
1,144
0
02 Jan 2018
Learnings Options End-to-End for Continuous Action Tasks
Learnings Options End-to-End for Continuous Action Tasks
Martin Klissarov
Pierre-Luc Bacon
J. Harb
Doina Precup
58
55
0
30 Nov 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
147
1,963
0
19 Sep 2017
Revisiting the Arcade Learning Environment: Evaluation Protocols and
  Open Problems for General Agents
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Marlos C. Machado
Marc G. Bellemare
Erik Talvitie
J. Veness
Matthew J. Hausknecht
Michael Bowling
110
558
0
18 Sep 2017
Mutual Alignment Transfer Learning
Mutual Alignment Transfer Learning
Markus Wulfmeier
Ingmar Posner
Pieter Abbeel
140
61
0
25 Jul 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
604
19,318
0
20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
217
938
0
07 Jul 2017
Reinforcement Learning with Deep Energy-Based Policies
Reinforcement Learning with Deep Energy-Based Policies
Tuomas Haarnoja
Haoran Tang
Pieter Abbeel
Sergey Levine
120
1,350
0
27 Feb 2017
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
102
534
0
13 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous
  Guided Policy Search
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya
A. Li
Mrinal Kalakrishnan
Yevgen Chebotar
Sergey Levine
OffRL
90
155
0
03 Oct 2016
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous
  Off-Policy Updates
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates
S. Gu
E. Holly
Timothy Lillicrap
Sergey Levine
OffRLSSL
123
1,484
0
03 Oct 2016
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
225
5,089
0
05 Jun 2016
Benchmarking Deep Reinforcement Learning for Continuous Control
Benchmarking Deep Reinforcement Learning for Continuous Control
Yan Duan
Xi Chen
Rein Houthooft
John Schulman
Pieter Abbeel
OffRL
103
1,695
0
22 Apr 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
359
13,297
0
09 Sep 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
319
3,445
0
02 Apr 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
287
6,809
0
19 Feb 2015
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