Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning Paper • 2409.12001 • Published Sep 18 • 3
Combinatorial Optimization with Policy Adaptation using Latent Space Search Paper • 2311.13569 • Published Nov 13, 2023
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Paper • 2210.03475 • Published Oct 7, 2022 • 1
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Paper • 2210.03475 • Published Oct 7, 2022 • 1
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Paper • 2111.00206 • Published Oct 30, 2021
One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning Paper • 2111.00206 • Published Oct 30, 2021
Combinatorial Optimization with Policy Adaptation using Latent Space Search Paper • 2311.13569 • Published Nov 13, 2023
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function Paper • 2211.10550 • Published Nov 19, 2022
Combinatorial Optimization with Policy Adaptation using Latent Space Search Paper • 2311.13569 • Published Nov 13, 2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX Paper • 2306.09884 • Published Jun 16, 2023
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition Paper • 2303.13931 • Published Mar 24, 2023 • 2
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents Paper • 2112.04189 • Published Dec 8, 2021 • 2
FOCUS: Effective Embedding Initialization for Specializing Pretrained Multilingual Models on a Single Language Paper • 2305.14481 • Published May 23, 2023 • 1
Efficient Parallelization Layouts for Large-Scale Distributed Model Training Paper • 2311.05610 • Published Nov 9, 2023