Steven D. Morad

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Visual Navigation

Partially Observable

Feature Extraction

Top Venues

IEEE Robotics Autom. Lett.

Publications

Steven D. Morad, Ajay Shankar, Jan Blumenkamp, Amanda Prorok
Language-Conditioned Offline RL for Multi-Robot Navigation. CoRR (2024)
Dulhan Jayalath, Steven D. Morad, Amanda Prorok
Generalising Multi-Agent Cooperation through Task-Agnostic Communication. CoRR (2024)
Steven D. Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob N. Foerster, Amanda Prorok
Revisiting Recurrent Reinforcement Learning with Memory Monoids. CoRR (2024)
Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Amanda Prorok
CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications. CoRR (2024)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. CoRR (2023)
Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Reinforcement Learning with Fast and Forgetful Memory. NeurIPS (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. CoRR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning. AAMAS (2023)
Steven D. Morad, Ryan Kortvelesy, Stephan Liwicki, Amanda Prorok
Reinforcement Learning with Fast and Forgetful Memory. CoRR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Generalised f-Mean Aggregation for Graph Neural Networks. NeurIPS (2023)
Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok
POPGym: Benchmarking Partially Observable Reinforcement Learning. ICLR (2023)
Ryan Kortvelesy, Steven D. Morad, Amanda Prorok
Generalised f-Mean Aggregation for Graph Neural Networks. CoRR (2023)
Steven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors. L4DC (2022)
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)
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) (2021)
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 (2021)
Steven D. Morad, Stephan Liwicki, Amanda Prorok
Graph Convolutional Memory for Deep Reinforcement Learning. CoRR (2021)
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel, Stephan Liwicki, Roberto Cipolla
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments. CoRR (2020)
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) (2020)
Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
Improving Visual Feature Extraction in Glacial Environments. CoRR (2019)