Simon Vanneste
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Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning Open
Many multi-agent systems require inter-agent communication to properly achieve their goal. By learning the communication protocol alongside the action protocol using multi-agent reinforcement learning techniques, the agents gain the flexib…
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning Open
Communication is crucial in multi-agent reinforcement learning when agents are not able to observe the full state of the environment. The most common approach to allow learned communication between agents is the use of a differentiable com…
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways Open
In recent years, interest in autonomous shipping in urban waterways has\nincreased significantly due to the trend of keeping cars and trucks out of city\ncenters. Classical approaches such as Frenet frame based planning and potential\nfiel…
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning Open
Communication is crucial in multi-agent reinforcement learning when agents are not able to observe the full state of the environment. The most common approach to allow learned communication between agents is the use of a differentiable com…
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System Open
Recent work in multi-agent reinforcement learning has investigated inter agent communication which is learned simultaneously with the action policy in order to improve the team reward. In this paper, we investigate independent Q-learning (…
Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services Open
In the upcoming decade and beyond, the Cooperative, Connected and Automated Mobility (CCAM) initiative will play a huge role in increasing road safety, traffic efficiency and comfort of driving in Europe. While several individual vehicular…
Learning to Communicate Using Counterfactual Reasoning Open
Learning to communicate in order to share state information is an active problem in the area of multi-agent reinforcement learning (MARL). The credit assignment problem, the non-stationarity of the communication environment and the creatio…
Distributed Uniform Streaming Framework: An Elastic Fog Computing Platform for Event Stream Processing and Platform Transparency Open
The increase of Internet of Things devices and the rise of more computationally intense applications presents challenges for future Internet of Things architectures. We envision a future in which edge, fog, and cloud devices work together …