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03/05/2023
Bounding the Optimal Value Function in Compositional Reinforcement Learning
In the field of reinforcement learning (RL), agents are often tasked wit...
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02/19/2023
Compositionality and Bounds for Optimal Value Functions in Reinforcement Learning
An agent's ability to reuse solutions to previously solved problems is c...
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12/29/2022
Intrinsic Motivation in Dynamical Control Systems
Biological systems often choose actions without an explicit reward signa...
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12/02/2022
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
In reinforcement learning (RL), the ability to utilize prior knowledge f...
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09/15/2022
Multi-Objective Policy Gradients with Topological Constraints
Multi-objective optimization models that encode ordered sequential const...
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06/07/2021
Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning
We introduce a mapping between Maximum Entropy Reinforcement Learning (M...
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04/07/2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Learning the dynamics of a physical system wherein an autonomous agent o...
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08/03/2020
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Despite the significant progress of deep reinforcement learning (RL) in ...
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07/14/2020
Efficient Online Estimation of Empowerment for Reinforcement Learning
Training artificial agents to acquire desired skills through model-free ...
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06/26/2020
AvE: Assistance via Empowerment
One difficulty in using artificial agents for human-assistive applicatio...
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01/31/2020
Preventing Imitation Learning with Adversarial Policy Ensembles
Imitation learning can reproduce policies by observing experts, which po...
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12/21/2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
While recent progress in deep reinforcement learning has enabled robots ...
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12/04/2019
