How to Combine Tree-Search Methods in Reinforcement Learning

How to Combine Tree-Search Methods in Reinforcement Learning

6 September 2018

Yonathan Efroni

Gal Dalal

Papers citing "How to Combine Tree-Search Methods in Reinforcement Learning"

9 / 9 papers shown

Title
Policy Mirror Descent with Lookahead Kimon Protopapas Anas Barakat 36 1 0 21 Mar 2024
A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games Anna Winnicki R. Srikant 46 1 0 17 Mar 2023
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search Gal Dalal Assaf Hallak Gugan Thoppe Shie Mannor Gal Chechik 39 3 0 30 Jan 2023
On The Convergence Of Policy Iteration-Based Reinforcement Learning With Monte Carlo Policy Evaluation Anna Winnicki R. Srikant 24 9 0 23 Jan 2023
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 36 3 0 28 Sep 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction Assaf Hallak Gal Dalal Steven Dalton I. Frosio Shie Mannor Gal Chechik OffRL OnRL 40 9 0 04 Jul 2021
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies Yonathan Efroni Nadav Merlis Mohammad Ghavamzadeh Shie Mannor OffRL 24 68 0 27 May 2019
Beyond the One Step Greedy Approach in Reinforcement Learning Yonathan Efroni Gal Dalal B. Scherrer Shie Mannor OffRL 68 48 0 10 Feb 2018