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Category: Continuous-RL

Posts related to the WASP-AI project “Reinforcement Learning in Continuous Spaces with Interactively Acquired Knowledge-based Models”

Experiments on a real robot peg-in-hole insertion

MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer

June 27, 2022 By todor.stoyanov@oru.se

Abstract In manufacturing, assembly tasks have been a challenge for learning algorithms due to variant dynamics of different environments. Reinforcement learning (RL) is a promising…

Example task learned by our framework

Null space based efficient reinforcement learning with hierarchical safety constraints

January 12, 2022 By todor.stoyanov@oru.se

Null space based efficient reinforcement learning with hierarchical safety constraints Abstract Reinforcement learning is inherently unsafe for use in physical systems, as learning by trial-and-error…

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