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11/18/2022
Curiosity in hindsight
Consider the exploration in sparse-reward or reward-free environments, s...
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11/08/2022
Self-conditioned Embedding Diffusion for Text Generation
Can continuous diffusion models bring the same performance breakthrough ...
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06/16/2022
BYOL-Explore: Exploration by Bootstrapped Prediction
We present BYOL-Explore, a conceptually simple yet general approach for ...
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03/30/2021
Broaden Your Views for Self-Supervised Video Learning
Most successful self-supervised learning methods are trained to align th...
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10/20/2020
BYOL works even without batch statistics
Bootstrap Your Own Latent (BYOL) is a self-supervised learning approach ...
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07/24/2020
Monte-Carlo Tree Search as Regularized Policy Optimization
The combination of Monte-Carlo tree search (MCTS) with deep reinforcemen...
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06/13/2020
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
We introduce Bootstrap Your Own Latent (BYOL), a new approach to self-su...
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04/30/2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Learning a good representation is an essential component for deep reinfo...
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02/20/2019
World Discovery Models
As humans we are driven by a strong desire for seeking novelty in our wo...
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10/22/2018
Coupled Longitudinal and Lateral Control of a Vehicle using Deep Learning
This paper explores the capability of deep neural networks to capture ke...
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01/24/2018
An LSTM Network for Highway Trajectory Prediction
In order to drive safely and efficiently on public roads, autonomous veh...
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06/25/2017
