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11/30/2018
Modulated Policy Hierarchies
Solving tasks with sparse rewards is a main challenge in reinforcement l...
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11/12/2018
Learning Latent Dynamics for Planning from Pixels
Planning has been very successful for control tasks with known environme...
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08/29/2018
Interpretable Intuitive Physics Model
Humans have a remarkable ability to use physical commonsense and predict...
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07/24/2018
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Obtaining reliable uncertainty estimates of neural network predictions i...
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05/15/2018
Visual Representations for Semantic Target Driven Navigation
What is a good visual representation for autonomous agents? We address t...
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10/11/2017
PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-based Planning
We present PRM-RL, a hierarchical method for long-range navigation task ...
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09/08/2017
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
We introduce TensorFlow Agents, an efficient infrastructure paradigm for...
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08/24/2017
Learning 6-DOF Grasping Interaction with Deep Geometry-aware 3D Representations
This paper focuses on the problem of learning 6-DOF grasping with a para...
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07/13/2017
A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors
Domain knowledge can often be encoded in the structure of a network, suc...
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06/18/2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
We propose ThalNet, a deep learning model inspired by neocortical commun...
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05/14/2017
Discrete Sequential Prediction of Continuous Actions for Deep RL
It has long been assumed that high dimensional continuous control proble...
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03/08/2017
Robust Adversarial Reinforcement Learning
Deep neural networks coupled with fast simulation and improved computati...
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02/13/2017
Cognitive Mapping and Planning for Visual Navigation
We introduce a neural architecture for navigation in novel environments....
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10/05/2016