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07/26/2023
Fixed Integral Neural Networks
It is often useful to perform integration over learned functions represe...
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06/24/2023
Generalised f-Mean Aggregation for Graph Neural Networks
Graph Neural Network (GNN) architectures are defined by their implementa...
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03/03/2023
POPGym: Benchmarking Partially Observable Reinforcement Learning
Real world applications of Reinforcement Learning (RL) are often partial...
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02/24/2023
Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
The problem of permutation-invariant learning over set representations i...
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07/07/2022
VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning
While many multi-robot coordination problems can be solved optimally by ...
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05/25/2022
QGNN: Value Function Factorisation with Graph Neural Networks
In multi-agent reinforcement learning, the use of a global objective is ...
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07/26/2021
The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts
Many multi-robot planning problems are burdened by the curse of dimensio...
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03/24/2021
