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12/29/2022
Backward Curriculum Reinforcement Learning
The current reinforcement learning algorithm uses forward-generated traj...
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06/21/2022
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling
Since reinforcement learning algorithms are notoriously data-intensive, ...
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06/01/2021
Information Theoretic Measures for Fairness-aware Feature Selection
Machine learning algorithms are increasingly used for consequential deci...
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05/26/2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic with Linear Function Approximation
In this paper, we develop a novel variant of off-policy natural actor-cr...
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05/04/2021
On the Linear convergence of Natural Policy Gradient Algorithm
Markov Decision Processes are classically solved using Value Iteration a...
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02/18/2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
In this paper, we provide finite-sample convergence guarantees for an of...
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02/03/2021
Impact of Data Processing on Fairness in Supervised Learning
We study the impact of pre and post processing for reducing discriminati...
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01/26/2021
Finite Sample Analysis of Two-Time-Scale Natural Actor-Critic Algorithm
Actor-critic style two-time-scale algorithms are very popular in reinfor...
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01/13/2018