Franki Nguimatsia Tiofack

According to our database, Franki Nguimatsia Tiofack authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Survival Reinforcement Learning: Toward Scalable Self-Supervised RL.

Franki Nguimatsia Tiofack, Fabian Schramm, Théotime Le Hellard, Justin Carpentier

CoRR, May, 2026

Accelerating trajectory optimization with Sobolev-trained diffusion policies.

Théotime Le Hellard, Franki Nguimatsia Tiofack, Quentin Le Lidec, Justin Carpentier

CoRR, April, 2026

SVL: Goal-Conditioned Reinforcement Learning as Survival Learning.

Franki Nguimatsia Tiofack, Fabian Schramm, Théotime Le Hellard, Justin Carpentier

CoRR, April, 2026

Variance-Reduced Model Predictive Path Integral via Quadratic Model Approximation.

Fabian Schramm, Franki Nguimatsia Tiofack, Nicolas Perrin-Gilbert, Marc Toussaint, Justin Carpentier

CoRR, February, 2026

2025

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, December, 2025