Nathan Grinsztajn
6 papers · 2021–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad
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The Questioner
Venues
Top co-authors
Research topics
Reinforcement Learning
(5)
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Learning Types · Machine Learning
(4)
Methods
(3)
Applications
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
reinforcement learning
(4)
vehicle routing problem
(2)
travelling salesman problem
(2)
large language model
(2)
combinatorial optimization
(2)
model alignment
(1)
off-policy learning
(1)
policy adaptation
(1)
multi-agent debate
(1)
language model fine-tuning
(1)
vehicle routing
(1)
combinatorial problem
(1)
sequence-level optimization
(1)
population-based training
(1)
population training
(1)
temporal ordering
(1)
actor critic
(1)
job shop scheduling
(1)
decision-making task
(1)
prompting strategies
(1)
Papers
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
ICLR 2024
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs
ICML 2024
Combinatorial Optimization with Policy Adaptation using Latent Space Search
NeurIPS 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
NeurIPS 2023
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
NeurIPS 2021