2.3k citations · 2.4k across the 19 of their papers we have counts for
4 papers · 1 filter
Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication
T. van der Heiden, C. Salge, E. Gavves +1
We consider the problem of robust multi-agent reinforcement learning (MARL) for cooperative communication and coordination tasks. MARL agents, mainly those trained in a centralized…
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables
Qi Wang, Herke van Hoof
Neural processes (NPs) constitute a family of variational approximate models for stochastic processes with promising properties in computational efficiency and uncertainty quantifi…
An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques
Joris Mollinga, Herke van Hoof
Air traffic control is becoming a more and more complex task due to the increasing number of aircraft. Current air traffic control methods are not suitable for managing this increa…
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol, Daniel E. Worrall, Herke van Hoof +2
This paper introduces MDP homomorphic networks for deep reinforcement learning. MDP homomorphic networks are neural networks that are equivariant under symmetries in the joint stat…