Multi-Action Learning (MAN)

Here is the code base for the paper: MAN: Multi-Action Network Learning. The paper link is: https://arxiv.org/abs/2209.09329

The Pipeline of MAN

Preproducing

There are two experiments for MAN, Atari 2600 games and Block-Stacking task.

The results in several Atari 2600 games:

Performance Comparison on Seaquest (left: MAN, right: Double DQN):