Harsh Satija | DeepAI

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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...

6 Harsh Satija, et al. ∙

∙ 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

Decoupling Dynamics and Reward for Transfer Learning

Current reinforcement learning (RL) methods can successfully learn singl...

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