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07/11/2023
Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning
Recent studies show that deep reinforcement learning (DRL) agents tend t...
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09/23/2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty
Uncertainty on human behaviors poses a significant challenge to autonomo...
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07/11/2021
Out-of-Distribution Dynamics Detection: RL-Relevant Benchmarks and Results
We study the problem of out-of-distribution dynamics (OODD) detection, w...
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05/01/2021
Stochastic Block-ADMM for Training Deep Networks
In this paper, we propose Stochastic Block-ADMM as an approach to train ...
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11/02/2020
Reducing Neural Network Parameter Initialization Into an SMT Problem
Training a neural network (NN) depends on multiple factors, including bu...
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06/06/2020