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05/16/2022
The Primacy Bias in Deep Reinforcement Learning
This work identifies a common flaw of deep reinforcement learning (RL) a...
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12/15/2020
Policy Optimization as Online Learning with Mediator Feedback
Policy Optimization (PO) is a widely used approach to address continuous...
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04/29/2020
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Deterministic-policy actor-critic algorithms for continuous control impr...
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04/07/2020
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Event-based cameras are novel, efficient sensors inspired by the human v...
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09/09/2019
