research
∙
10/25/2022
In-context Reinforcement Learning with Algorithm Distillation
We propose Algorithm Distillation (AD), a method for distilling reinforc...
share
research
∙
03/10/2021
Hard Attention Control By Mutual Information Maximization
Biological agents have adopted the principle of attention to limit the r...
research
∙
02/21/2020
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
In this paper, we introduce a novel form of value function, Q(s, s'), th...
research
∙
01/31/2019
Visual Hindsight Experience Replay
Reinforcement Learning algorithms typically require millions of environm...
research
∙
05/21/2018
Imitating Latent Policies from Observation
We describe a novel approach to imitation learning that infers latent po...
research
∙
11/30/2017
Learning to Compose Skills
We present a differentiable framework capable of learning a wide variety...
research
∙
05/24/2017