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04/21/2022
Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning
Hierarchical Reinforcement Learning (HRL) allows interactive agents to d...
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08/06/2021
Temporally Abstract Partial Models
Humans and animals have the ability to reason and make predictions about...
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05/27/2021
AndroidEnv: A Reinforcement Learning Platform for Android
We introduce AndroidEnv, an open-source platform for Reinforcement Learn...
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03/05/2021
Training a First-Order Theorem Prover from Synthetic Data
A major challenge in applying machine learning to automated theorem prov...
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06/26/2020
What can I do here? A Theory of Affordances in Reinforcement Learning
Reinforcement learning algorithms usually assume that all actions are al...
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06/19/2020
Learning to Prove from Synthetic Theorems
A major challenge in applying machine learning to automated theorem prov...
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12/11/2019
Marginalized State Distribution Entropy Regularization in Policy Optimization
Entropy regularization is used to get improved optimization performance ...
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01/30/2019
InfoBot: Transfer and Exploration via the Information Bottleneck
A central challenge in reinforcement learning is discovering effective p...
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11/27/2018
Understanding the impact of entropy on policy optimization
Entropy regularization is commonly used to improve policy optimization i...
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11/27/2018
Understanding the impact of entropy in policy learning
Entropy regularization is commonly used to improve policy optimization i...
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07/11/2018
