4 papers
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi, Bogdan Robu, Christophe Prieur +2
This paper addresses the problem of integrating local guide policies into a Reinforcement Learning agent. For this, we show how to adapt existing algorithms to this setting before…
Improving a Proportional Integral Controller with Reinforcement Learning on a Throttle Valve Benchmark
Paul Daoudi, Bojan Mavkov, Bogdan Robu +4
This paper presents a learning-based control strategy for non-linear throttle valves with an asymmetric hysteresis, leading to a near-optimal controller without requiring any prior…
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
Paul Daoudi, Mathias Formoso, Othman Gaizi +2
A precondition for the deployment of a Reinforcement Learning agent to a real-world system is to provide guarantees on the learning process. While a learning algorithm will eventua…
A Conservative Approach for Few-Shot Transfer in Off-Dynamics Reinforcement Learning
Paul Daoudi, Christophe Prieur, Bogdan Robu +2
Off-dynamics Reinforcement Learning (ODRL) seeks to transfer a policy from a source environment to a target environment characterized by distinct yet similar dynamics. In this cont…