Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning. - Franki Nguimatsia Tiofack; Théotime Le Hellard; Fabian Schramm; Nicolas Perrin-Gilbert; Justin Carpentier (CoRR, 2025)

Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation. - Fabian Schramm; Franki Nguimatsia Tiofack; Nicolas Perrin-Gilbert; Marc Toussaint; Justin Carpentier (CoRR, 2026)

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning. - Franki Nguimatsia Tiofack; Fabian Schramm; Théotime Le Hellard; Justin Carpentier (CoRR, 2026)

Accelerating trajectory optimization with Sobolev-trained diffusion policies. - Théotime Le Hellard; Franki Nguimatsia Tiofack; Quentin Le Lidec; Justin Carpentier (CoRR, 2026)

Survival Reinforcement Learning: Toward Scalable Self-Supervised RL. - Franki Nguimatsia Tiofack; Fabian Schramm; Théotime Le Hellard; Justin Carpentier (CoRR, 2026)