Sequences of millions of bytes are ubiquitous; for example, music, image, or video files typically consist of multiple megabytes.

Short-horizon tasks require few steps: e.g., go to a tree and chop it down, dig a hole.

We use induction to prove this statement. The penultimate step follows from the induction hypothesis completing the proof. Then, the fixed point of Eq.(5) is the value function of in f M . We focus on permanent value function in the next two theorems. The permanent value function is updated using Eq.

Deep reinforcement learning (RL) has achieved remarkable successes in complex tasks, e.g Go [

This procedure can leverage noisy, asynchronous human feedback to learn policies with no hand-crafted reward design or exploration bonuses.

Computational cognitive models are a fundamental tool in behavioral neuroscience.

We present a novel multi-agent RL approach, Selective Multi-Agent Prioritized Experience Relay, in which agents share with other agents a limited number of transitions they observe during training.