You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Control of Memory, Active Perception, and Action in Minecraft introduces a memory Q-network (MQN) and recurrent MQN (RMQN), based on a relatively simple key-value soft attention memory. These could feasibly be added as model options, although the feedback RMQN (FRMQN) would add another level of complexity to the architecture.
Edit 2016-06-14: DeepMind have been working on something similar. Expect to see something from them in the future.
The text was updated successfully, but these errors were encountered:
Control of Memory, Active Perception, and Action in Minecraft introduces a memory Q-network (MQN) and recurrent MQN (RMQN), based on a relatively simple key-value soft attention memory. These could feasibly be added as model options, although the feedback RMQN (FRMQN) would add another level of complexity to the architecture.
Edit 2016-06-14: DeepMind have been working on something similar. Expect to see something from them in the future.
The text was updated successfully, but these errors were encountered: