Search Results for author:
Found 1 papers, 0 papers with code
Contrastive learning-based agent modeling for deep reinforcement learning
However, existing agent modeling approaches typically assume the availability of local observations from other agents (modeled agents) during training or a long observation trajectory for policy adaption.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
