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05/25/2022
Fast Inference and Transfer of Compositional Task Structures for Few-shot Task Generalization
We tackle real-world problems with complex structures beyond the pixel-b...
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02/02/2022
Lipschitz-constrained Unsupervised Skill Discovery
We study the problem of unsupervised skill discovery, whose goal is to l...
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01/21/2022
Environment Generation for Zero-Shot Compositional Reinforcement Learning
Many real-world problems are compositional - solving them requires compl...
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11/18/2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
Operating in the real-world often requires agents to learn about a compl...
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07/13/2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
We propose the k-Shortest-Path (k-SP) constraint: a novel constraint on ...
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06/02/2021
Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning
Learning to reach goal states and learning diverse skills through mutual...
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01/01/2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies
We propose and address a novel few-shot RL problem, where a task is char...
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07/24/2019
Efficient Exploration with Self-Imitation Learning via Trajectory-Conditioned Policy
This paper proposes a method for learning a trajectory-conditioned polic...
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11/05/2018
Contingency-Aware Exploration in Reinforcement Learning
This paper investigates whether learning contingency-awareness and contr...
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01/16/2018
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis
We propose a novel hierarchical approach for text-to-image synthesis by ...
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07/19/2017
Supervising Neural Attention Models for Video Captioning by Human Gaze Data
The attention mechanisms in deep neural networks are inspired by human's...
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10/10/2016