Generalized learning automata for multi-agent reinforcement learning

Yann-Michaël De Hauwere, Peter Vrancx, Ann Nowé · AI Communications · 2010

A major challenge in multi-agent reinforcement learning remains dealing with the large state spaces typically associated with realistic multi-agent systems. As the state space grows, agent policies become increasingly complex and learning slows down.

Read the paper · More papers on PaperTik