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20122025
most citedGeneralization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

58 citations · 239 across the 22 of their papers we have counts for

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6 papers · 1 filter

stat.ML2023★ 7 cited

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

Federico Tomasi, Joseph Cauteruccio, Surya Kanoria +3

Personalization of playlists is a common feature in music streaming services, but conventional techniques, such as collaborative filtering, rely on explicit assumptions regarding c…

stat.ML2021

Imitation Learning by Reinforcement Learning

Kamil Ciosek

Imitation learning algorithms learn a policy from demonstrations of expert behavior. We show that, for deterministic experts, imitation learning can be done by reduction to reinfor…

stat.ML2019★ 35 cited

Better Exploration with Optimistic Actor-Critic

Kamil Ciosek, Quan Vuong, Robert Loftin +1

Actor-critic methods, a type of model-free Reinforcement Learning, have been successfully applied to challenging tasks in continuous control, often achieving state-of-the art perfo…

stat.ML2018★ 32 cited

Expected Policy Gradients for Reinforcement Learning

Kamil Ciosek, Shimon Whiteson

We propose expected policy gradients (EPG), which unify stochastic policy gradients (SPG) and deterministic policy gradients (DPG) for reinforcement learning. Inspired by expected…

stat.ML2017

Expected Policy Gradients

Kamil Ciosek, Shimon Whiteson

We propose expected policy gradients (EPG), which unify stochastic policy gradients (SPG) and deterministic policy gradients (DPG) for reinforcement learning. Inspired by expected…

stat.ML2013★ 1 cited

Properties of the Least Squares Temporal Difference learning algorithm

Kamil Ciosek

This paper presents four different ways of looking at the well-known Least Squares Temporal Differences (LSTD) algorithm for computing the value function of a Markov Reward Process…