Reinforcement Learning from Delayed Observations via World Models

Armin Karamzade, Kyungmin Kim, Montek Kalsi +1

In standard reinforcement learning settings, agents typically assume immediate feedback about the effects of their actions after taking them. However, in practice, this assumption…