research
∙
05/26/2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Training multiple agents to coordinate is an important problem with appl...
share
research
∙
03/06/2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Open-ended learning methods that automatically generate a curriculum of ...
research
∙
10/24/2022
Perfectly Secure Steganography Using Minimum Entropy Coupling
Steganography is the practice of encoding secret information into innocu...
research
∙
01/07/2022
Mirror Learning: A Unifying Framework of Policy Optimisation
General policy improvement (GPI) and trust-region learning (TRL) are the...
research
∙
11/20/2018
Stable Opponent Shaping in Differentiable Games
A growing number of learning methods are actually games which optimise m...
research
∙
09/19/2018
