European Workshop on Reinforcement Learning
The European Workshop on Reinforcement Learning is the gathering hub of the RL research community in Europe and one of the main world-class events in RL. UPF contributed with six papers in its 17th edition that took place in Toulouse
The European Workshop on Reinforcement Learning is the gathering hub of the RL research community in Europe and one of the main world-class events in RL. UPF contributed with six papers in its 17th edition in Toulouse:
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Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently. Sergio Calo Oliveira, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas (also accepted at NeurIPS 2024)
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Adversarial Contextual Bandits Go Kernelized. Gergely Neu, Julia Olkhovskaya, Sattar Vakili (also accepted at ALT 2024)
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Using a Learned Policy Basis to Optimally Solve Reward Machines. Guillermo Infante, David Kuric, Vicenç Gómez, Anders Jonsson, Herke van Hoof (also accepted at ICAPS 2024)
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Offline RL via Feature-Occupancy Gradient Ascent. Gergely Neu, Nneka Okolo
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Distributed Constrained Multi-Agent Reinforcement Learning with Consensus and Networked Communication. Santiago Amaya-Corredor, Miguel Calvo-Fullana, Anders Jonsson
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Enhancing Exploration via Off-Reward Dynamic Reference Reinforcement Learning. Yamen Habib, Dmytro Grytskyy, Rubén Moreno-Bote