Multiple-Step Greedy Policies in Online and Approximate Reinforcement
Learning

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning

21 May 2018

Yonathan Efroni

Gal Dalal

Papers citing "Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning"

10 / 10 papers shown

Title
On-line Policy Improvement using Monte-Carlo Search Gerald Tesauro Gregory R. Galperin 92 270 0 09 Jan 2025
Acceleration in Policy Optimization Veronica Chelu Tom Zahavy A. Guez Doina Precup Sebastian Flennerhag 56 0 0 18 Jun 2023
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 37 1 0 17 Mar 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation Anna Winnicki R. Srikant 22 9 0 23 Jan 2023
Reinforcement Learning with Unbiased Policy Evaluation and Linear Function Approximation Anna Winnicki R. Srikant OffRL 29 6 0 13 Oct 2022
Generalised Policy Improvement with Geometric Policy Composition S. Thakoor Mark Rowland Diana Borsa Will Dabney Rémi Munos André Barreto OffRL 22 7 0 17 Jun 2022
Planning and Learning with Adaptive Lookahead Aviv A. Rosenberg Assaf Hallak Shie Mannor Gal Chechik Gal Dalal 32 7 0 28 Jan 2022
The Role of Lookahead and Approximate Policy Evaluation in Reinforcement Learning with Linear Value Function Approximation Anna Winnicki Joseph Lubars Michael Livesay R. Srikant 33 3 0 28 Sep 2021
How to Combine Tree-Search Methods in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor 16 31 0 06 Sep 2018
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 59 48 0 10 Feb 2018