An empirical investigation of the challenges of real-world reinforcement learning

24 March 2020

Papers citing "An empirical investigation of the challenges of real-world reinforcement learning"

31 / 31 papers shown

Title
AlphaGrad: Non-Linear Gradient Normalization Optimizer Soham Sane ODL 56 0 0 22 Apr 2025
Reinforcement learning with combinatorial actions for coupled restless bandits Lily Xu Bryan Wilder Elias B. Khalil Milind Tambe 67 1 0 01 Mar 2025
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Karl Sammut AI4CE 66 0 0 10 Feb 2025
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control Devdhar Patel H. Siegelmann OffRL 37 0 0 11 Oct 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 31 0 0 22 Jul 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 78 5 0 13 Dec 2023
An Open-Loop Baseline for Reinforcement Learning Locomotion Tasks Antonin Raffin Olivier Sigaud Jens Kober Alin Albu-Schäffer João Silvério F. Stulp 32 2 0 09 Oct 2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World Nicolas Gurtler Felix Widmaier Cansu Sancaktar Sebastian Blaes Pavel Kolev ... Arman Raayatsanati Hehui Zheng Barnabas Gavin Cangan Bernhard Schölkopf Georg Martius OffRL 32 2 0 15 Aug 2023
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware Nico Gürtler Sebastian Blaes Pavel Kolev Felix Widmaier Manuel Wüthrich Stefan Bauer Bernhard Schölkopf Georg Martius OffRL 33 28 0 28 Jul 2023
ContainerGym: A Real-World Reinforcement Learning Benchmark for Resource Allocation Abhijeet Pendyala Justin Dettmer Tobias Glasmachers Asma Atamna OffRL 11 6 0 06 Jul 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 33 5 0 30 Jan 2023
Holo-Dex: Teaching Dexterity with Immersive Mixed Reality Sridhar Pandian Arunachalam Irmak Güzey Soumith Chintala Lerrel Pinto 43 67 0 12 Oct 2022
GoalsEye: Learning High Speed Precision Table Tennis on a Physical Robot Tianli Ding L. Graesser Saminda Abeyruwan David B. DÁmbrosio Anish Shankar P. Sermanet Pannag R. Sanketi Corey Lynch 47 20 0 07 Oct 2022
Sim2real for Reinforcement Learning Driven Next Generation Networks Peizheng Li Jonathan D. Thomas Xiaoyang Wang Hakan Erdol A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki 22 3 0 08 Jun 2022
Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots Yufeng Yuan Rupam Mahmood OffRL 25 19 0 23 Mar 2022
RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning Sabela Ramos Sertan Girgin Léonard Hussenot Damien Vincent Hanna Yakubovich ... Piotr Stańczyk Raphaël Marinier Jeremiah Harmsen Olivier Pietquin Nikola Momchev OffRL 30 23 0 04 Nov 2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 26 44 0 03 Nov 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 19 2 0 15 Oct 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation Prithvijit Chattopadhyay Judy Hoffman Roozbeh Mottaghi Aniruddha Kembhavi 25 55 0 08 Jun 2021
Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control Jacopo Panerati Hehui Zheng Siqi Zhou James Xu Amanda Prorok Angela P. Schoellig University of Toronto Institute for A Studies AI4CE 22 154 0 03 Mar 2021
DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning Xianyuan Zhan Haoran Xu Yueying Zhang Xiangyu Zhu Honglei Yin Yu Zheng OffRL AI4CE 38 67 0 23 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 132 78 0 01 Feb 2021
Adaptable Automation with Modular Deep Reinforcement Learning and Policy Transfer Zohreh Raziei Mohsen Moghaddam 26 25 0 27 Nov 2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification D. Mankowitz D. A. Calian Rae Jeong Cosmin Paduraru N. Heess Sumanth Dathathri Martin Riedmiller Timothy A. Mann 21 11 0 20 Oct 2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design J. Luis E. Crawley B. Cameron 19 6 0 15 Oct 2020
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ossama Ahmed Frederik Trauble Anirudh Goyal Alexander Neitz Yoshua Bengio Bernhard Schölkopf M. Wuthrich Stefan Bauer CML 29 120 0 08 Oct 2020
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 148 408 0 25 Sep 2019
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 134 928 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017