research
∙
10/26/2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Model-based reinforcement learning (RL) has shown great potential in var...
share
research
∙
03/13/2020
Sparse Graphical Memory for Robust Planning
To operate effectively in the real world, artificial agents must act fro...
research
∙
02/27/2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
In visual planning (VP), an agent learns to plan goal-directed behavior ...
research
∙
11/12/2019
Deep Variational Semi-Supervised Novelty Detection
In anomaly detection (AD), one seeks to identify whether a test sample i...
research
∙
10/29/2019
Learning to Manipulate Deformable Objects without Demonstrations
In this paper we tackle the problem of deformable object manipulation th...
research
∙
05/11/2019
Learning Robotic Manipulation through Visual Planning and Acting
Planning for robotic manipulation requires reasoning about the changes a...
research
∙
07/24/2018
Learning Plannable Representations with Causal InfoGAN
In recent years, deep generative models have been shown to 'imagine' con...
research
∙
02/28/2018
Model-Ensemble Trust-Region Policy Optimization
Model-free reinforcement learning (RL) methods are succeeding in a growi...
research
∙
12/02/2015
