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10/22/2022
Solving Continuous Control via Q-learning
While there has been substantial success in applying actor-critic method...
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05/18/2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
Experience replay plays a crucial role in improving the sample efficienc...
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04/05/2022
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models
In most classical Autonomous Vehicle (AV) stacks, the prediction and pla...
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11/23/2021
Learning Interactive Driving Policies via Data-driven Simulation
Data-driven simulators promise high data-efficiency for driving policy l...
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11/23/2021
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
Simulation has the potential to transform the development of robust algo...
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11/03/2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Reinforcement learning (RL) for continuous control typically employs dis...
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02/19/2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Learning competitive behaviors in multi-agent settings such as racing re...
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10/27/2020
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Learning complex behaviors through interaction requires coordinated long...
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10/07/2019
Deep Evidential Regression
Deterministic neural networks (NNs) are increasingly being deployed in s...
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09/16/2019
