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ORCIDSteven D. Morad
Person information
- affiliation: University of Cambridge, UK
- affiliation (former): University of Arizona, Tucson, AZ, USA
- affiliation (former): California Institute of Technology, Jet Propulsion Laboratory, Pasadena, CA, USA
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2020 – today
- 2024
[i18]Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki
, Jakob N. Foerster, Amanda Prorok:
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR abs/2402.09900 (2024)- [i17]Dulhan Jayalath, Steven D. Morad, Amanda Prorok:
Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR abs/2403.06750 (2024) - [i16]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok:
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR abs/2405.01107 (2024) - [i15]Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok:
Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR abs/2407.20164 (2024) - 2023
- [c8]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS 2023: 1661-1669 - [c7]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR 2023 - [c6]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS 2023 - [c5]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. NeurIPS 2023 - [i14]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR abs/2302.12826 (2023) - [i13]Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok:
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR abs/2303.01859 (2023) - [i12]Ryan Kortvelesy, Steven D. Morad, Amanda Prorok:
Generalised f-Mean Aggregation for Graph Neural Networks. CoRR abs/2306.13826 (2023) - [i11]Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok:
Reinforcement Learning with Fast and Forgetful Memory. CoRR abs/2310.04128 (2023) - 2022
- [c4]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. ICRA 2022: 8772-8778 - [c3]Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok:
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC 2022: 59-73 - 2021
- [j2]Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla:
Embodied Visual Navigation With Automatic Curriculum Learning in Real Environments. IEEE Robotics Autom. Lett. 6(2): 683-690 (2021) - [i10]Steven D. Morad, Stephan Liwicki, Amanda Prorok:
Graph Convolutional Memory for Deep Reinforcement Learning. CoRR abs/2106.14117 (2021) - [i9]Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok:
A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies. CoRR abs/2111.01777 (2021) - 2020
- [j1]Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard:
Improving Visual Feature Extraction in Glacial Environments. IEEE Robotics Autom. Lett. 5(2): 385-390 (2020) - [i8]Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla:
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments. CoRR abs/2009.05429 (2020)
2010 – 2019
- 2019
- [i7]Steven D. Morad, Thomas Dailey, Leonard Vance, Jekan Thangavelautham:
A Spring Propelled Extreme Environment Robot for Off-World Cave Exploration. CoRR abs/1903.07856 (2019) - [i6]Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard:
Improving Visual Feature Extraction in Glacial Environments. CoRR abs/1908.10425 (2019) - [i5]Steven D. Morad, Himangshu Kalita, Ravi Teja Nallapu, Jekan Thangavelautham:
Building Small-Satellites to Live Through the Kessler Effect. CoRR abs/1909.01342 (2019) - 2018
- [c2]Steven D. Morad, Himangshu Kalita, Jekan Thangavelautham:
Planning and navigation of climbing robots in low-gravity environments. PLANS 2018: 1302-1310 - [c1]Himangshu Kalita, Steven D. Morad, Aaditya Ravindran, Jekan Thangavelautham:
Path planning and navigation inside off-world lava tubes and caves. PLANS 2018: 1311-1318 - [i4]Himangshu Kalita, Steven D. Morad, Jekan Thangavelautham:
Path Planning and Navigation Inside Off-World Lava Tubes and Caves. CoRR abs/1803.02818 (2018) - [i3]Steven D. Morad, Himangshu Kalita, Jekan Thangavelautham:
Planning and Navigation of Climbing Robots in Low-Gravity Environments. CoRR abs/1803.05601 (2018) - [i2]Steven D. Morad, Ravi Teja Nallapu, Himangshu Kalita, Byon Kwon, Vishnu Reddy, Roberto Furfaro, Erik Asphaug, Jekan Thangavelautham:
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects. CoRR abs/1809.02042 (2018) - [i1]Himangshu Kalita, Steven D. Morad, Jekan Thangavelautham:
Coordination and Control of Multiple Climbing Robots in Transport of Heavy Loads through Extreme Terrain. CoRR abs/1812.11452 (2018)
Coauthor Index
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