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06/06/2022
Enhancing Safe Exploration Using Safety State Augmentation
Safe exploration is a challenging and important problem in model-free re...
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05/31/2022
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints
Many real-world settings involve costs for performing actions; transacti...
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05/30/2022
SEREN: Knowing When to Explore and When to Exploit
Efficient reinforcement learning (RL) involves a trade-off between "expl...
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02/14/2022
SAUTE RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
Satisfying safety constraints almost surely (or with probability one) ca...
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02/14/2022
Reinforcement Learning in Presence of Discrete Markovian Context Evolution
We consider a context-dependent Reinforcement Learning (RL) setting, whi...
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07/06/2021
Implicit Variational Conditional Sampling with Normalizing Flows
We present a method for conditional sampling with normalizing flows when...
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10/10/2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing
Recurrent models are becoming a popular choice for video enhancement tas...
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06/12/2020
