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09/01/2021
A Survey of Exploration Methods in Reinforcement Learning
Exploration is an essential component of reinforcement learning algorith...
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05/31/2021
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
We study the problem of Safe Policy Improvement (SPI) under constraints ...
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12/26/2020
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
A major challenge in reinforcement learning is the design of exploration...
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08/26/2020
Constrained Markov Decision Processes via Backward Value Functions
Although Reinforcement Learning (RL) algorithms have found tremendous su...
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06/06/2018
Randomized Value Functions via Multiplicative Normalizing Flows
Randomized value functions offer a promising approach towards the challe...
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04/27/2018