Introduction of Sampling Based Coordination Informed Multi Objective Multi Robot Reinforcement Learning
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Learning task controllers on a humanoid robot using multi-objective optimization (Talos robot)
Prediction-Guided Multi-Objective Reinforcement Learning for Continous Robot Control
Multi-Objective Coverage Control of Multi-Agent Systems
PIMbot++:Policy and Incentive Manipulation for Multi-Robot Reinforcement Learning in Social Dilemmas
Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep RL
Sampling-based multi-robot exploration
[IROS 2023] GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
Reinforcement Learning: Thompson Sampling & The Multi Armed Bandit Problem - Part 01
DeepIG: Multi-Robot Information Gathering with Deep Reinforcement Learning
A Multimodal Stochastic Planning Approach for Navigation and Multi-Robot Coordination
Safe Multi-Agent Reinforcement Learning for Behavior-Based Cooperative Navigation
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Last Updated: October 21, 2026
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Summary
cwi.nl/en/events/cwi-research-semester-programmes/workshop-on-theory-of-control-and- ... turns out that assignment mechanisms are what actually fundamentally allow us to Designing controllers for complex This is a demo video for the ICML 2020 paper "Prediction-Guided Gazebo demo for "PIMbot++: Policy and Incentive Manipulation for Paper Link: ieeexplore.ieee.org/abstract/document/9244647 Code: ... Zhi Yan, Nicolas Jouandeau, and Arab Ali Cherif. This paper is published at IROS 2023 - Full Paper: arxiv.org/pdf/2303.05193.pdf - Project Page: ... In this video, we present a receding-horizon, This video demonstrates the work presented in our paper "Safe
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