174 citations · 710 across the 17 of their papers we have counts for
4 papers · 1 filter
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi, Sergio Gómez Colmenarejo, Matthew W. Hoffman +3
This paper introduces the Intentional Unintentional (IU) agent. This agent endows the deep deterministic policy gradients (DDPG) agent for continuous control with the ability to so…
Programmable Agents
Misha Denil, Sergio Gómez Colmenarejo, Serkan Cabi +2
We build deep RL agents that execute declarative programs expressed in formal language. The agents learn to ground the terms in this language in their environment, and can generali…
Parallel Multiscale Autoregressive Density Estimation
Scott Reed, Aäron van den Oord, Nal Kalchbrenner +4
PixelCNN achieves state-of-the-art results in density estimation for natural images. Although training is fast, inference is costly, requiring one network evaluation per pixel; O(N…
Learned Optimizers that Scale and Generalize
Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman +4
Learning to learn has emerged as an important direction for achieving artificial intelligence. Two of the primary barriers to its adoption are an inability to scale to larger probl…