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cs.LG2026
Robust Successor Features
Erik Nikulski, Yamen Habib, Vicenç Gomez +3
Generalization in Reinforcement Learning (RL) refers to the ability to execute close-to-optimal policies in unseen tasks after the agent has been trained on a different set of task…
cs.LG2024
Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
Guillermo Infante, Anders Jonsson, Vicenç Gómez
We introduce a novel approach to hierarchical reinforcement learning for Linearly-solvable Markov Decision Processes (LMDPs) in the infinite-horizon average-reward setting. Unlike…
cs.LG2024
Planning with a Learned Policy Basis to Optimally Solve Complex Tasks
Guillermo Infante, David Kuric, Anders Jonsson +2
Conventional reinforcement learning (RL) methods can successfully solve a wide range of sequential decision problems. However, learning policies that can generalize predictably acr…