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06/15/2023
Simplified Temporal Consistency Reinforcement Learning
Reinforcement learning is able to solve complex sequential decision-maki...
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03/21/2023
SACPlanner: Real-World Collision Avoidance with a Soft Actor Critic Local Planner and Polar State Representations
We study the training performance of ROS local planners based on Reinfor...
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10/25/2022
Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning
Offline reinforcement learning, by learning from a fixed dataset, makes ...
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06/15/2021
End-to-End Learning of Keypoint Representations for Continuous Control from Images
In many control problems that include vision, optimal controls can be in...
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12/22/2020
Learning to Play Imperfect-Information Games by Imitating an Oracle Planner
We consider learning to play multiplayer imperfect-information games wit...
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11/05/2020
RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning
Current robot platforms available for research are either very expensive...
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08/03/2020
Learning to Drive Small Scale Cars from Scratch
We consider the problem of learning to drive low-cost small scale cars u...
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10/12/2019
Regularizing Model-Based Planning with Energy-Based Models
Model-based reinforcement learning could enable sample-efficient learnin...
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03/28/2019
Regularizing Trajectory Optimization with Denoising Autoencoders
Trajectory optimization with learned dynamics models can often suffer fr...
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11/29/2017
Semi-Supervised Few-Shot Learning with Prototypical Networks
We consider the problem of semi-supervised few-shot classification (when...
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07/28/2017
