Jul 19, 2017 · We introduce Imagination-Augmented Agents (I2As), a novel architecture for deep reinforcement learning combining model-free and model-based aspects.

We introduce Imagination-Augmented Agents (I2As), a novel architecture for deep reinforcement learning combining model-free and model-based aspects.

We introduce Imagination-Augmented Agents (I2As), a novel architecture for deep reinforcement learning combining model-free and model-based aspects. In con ...

[1] This tutorial presents a new family of approaches for imagination-based planning: Imagination-Augmented Agents for Deep Reinforcement Learning [arxiv] ...

Imagination-Augmented Agents (I2As), a novel architecture for deep reinforcement learning combining model-free and model-based aspects, shows improved data ...

This paper presents an approach to model-based reinforcement learning where, instead of directly estimating the value of actions in a learned model, ...

We introduce Imagination-Augmented Agents (I2As), a novel architecture for deep reinforcement learning combining model-free and model-based aspects.

Mar 29, 2018 · [P] Imagination Augmented Agents: step-by-step tutorial with clean readable code · Comments Section · Community Info Section · More posts you may ...

Duration: 15:22
Posted: Aug 4, 2017

Aug 8, 2018 · The paper presents I2A (Imagination Augmented Agent) that combines the model-based and model-free approaches leading to data efficiency and ...