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TEDx Oxford Keynote Amanda Prorok
ICRA 2023 Keynote Amanda Prorok
(starts 32 minutes in)
Heterogeneous Multi-Robot Reinforcement Learning
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
GNN-based Policlies for Multi-Robot Systems
GNNs for Multi-Agent Path Planning
Thinking Digital Conference 2023 -How self-driving vehicles would actually work
Modelling Aggregate Downwash Forces for Dense Multirotor Flight
Explanation-Aware Experience Replay in Rule-Dense Environments
Adversarial Communication in Multi-Agent RL
G2RL for Path Planning
Mixed-Reality RL for Multi-Vehicle Driving
Docking Multirotors in Close Proximity Using Learnt Downwash Models
Fleet of Mini Cars for Cooperative Driving
An internet of Robots and Things
Control of a Heterogeneous Robot Swarm
Solving the Traffic Problem
Talks
[Robotics Today] Learning to Communicate
[CoRL 2020] Adversarial Comms in Multi-Agent RL
[AAMAS 2020] Multi-Vehicle Mixed-Reality Sim2Real
Amanda Prorok Machine Learning for Multi Robot and Multi Agent Problems
[AAMAS 2020] Explainable Path Deconfliction
[ICRA 2020] Prioritized Path Planning
[IROS 2020] GNNs for Decentralized Path Planning
[ICRA 2020] Private Flocking
© 2022 Prorok Lab.