Jun 26, 2025 · Unlike prevailing data-driven methods that primarily rely on supervised learning, in this paper, we introduce a novel Graph-oriented Inverse Reinforcement Learning (GoIRL) …

Supplementary video for “GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction”, accepted by ICML 2025.

May 1, 2025 · To address this, we propose GoIRL, a novel trajectory prediction framework built on Inverse Reinforcement Learning (IRL), a technique that infers the goals and intentions behind …

Unlike prevailing data-driven methods that primarily rely on supervised learning, in this paper, we introduce a novel G raph- o riented I nverse R einforcement L earning (GoIRL) framework, …

Jun 26, 2025 · Unlike prevailing data-driven methods that primarily rely on supervised learning, in this paper, we introduce a novel Graph-oriented Inverse Reinforcement Learning (GoIRL) …

To the best of our knowledge, GoIRL is the first motion prediction scheme that integrates the MaxEnt IRL paradigm with graph-based context represen-tations through the proposed feature …

To address this, we propose GoIRL, a novel trajectory prediction framework built on Inverse Reinforcement Learning (IRL), a technique that infers the goals and intentions behind …

Jun 26, 2025 · GoIRL introduces a novel approach by using graph-based representations to model interactions and potential movement paths. Think of it like a chess game where each …

To the best of our knowledge, GoIRL is the first motion prediction scheme that integrates the MaxEnt IRL paradigm with graph-based context representations through the proposed feature …

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