Publications d'Nilaksh

• 

  Nilaksh

  Co-superviseur: Caglar Gulcehre
  Domaines de recherche: Apprentissage par renforcement, IA incarnée

Activité

• Étudiant au doctorat: sept. 2025 - maintenant

Articles de conférence et de revue

2026

2. Squeezing More from the Stream: Learning Representation Online for Streaming Reinforcement Learning
   Nilaksh*, Antoine Clavaud*, Mathieu Reymond, François Rivest et Sarath Chandar
   International Conference on Machine Learning (ICML), 2026.
   #RL, #DL
   [arXiv], [code]

3. BRIDGE: Predicting Human Task Completion Time From Model Performance
   Fengyuan Liu*, Jay Gala*, Nilaksh, Dzmitry Bahdanau, Siva Reddy et Hugo Larochelle
   International Conference on Machine Learning (ICML), 2026.
   #NLP
   [arXiv], [code]