Harnessing Structures for Value-Based Planning and Reinforcement Learning

26 September 2019

Papers citing "Harnessing Structures for Value-Based Planning and Reinforcement Learning"

10 / 10 papers shown

Title
Solving Finite-Horizon MDPs via Low-Rank Tensors Sergio Rozada Jose Luis Orejuela Antonio G. Marques 44 0 0 17 Jan 2025
Tensor Low-rank Approximation of Finite-horizon Value Functions Sergio Rozada Antonio G. Marques 38 3 0 27 May 2024
Dissecting Deep RL with High Update Ratios: Combatting Value Divergence Marcel Hussing C. Voelcker Igor Gilitschenski Amir-massoud Farahmand Eric Eaton 34 3 0 09 Mar 2024
Directions of Curvature as an Explanation for Loss of Plasticity Alex Lewandowski Haruto Tanaka Dale Schuurmans Marlos C. Machado 11 5 0 30 Nov 2023
The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting Hongyao Tang M. Zhang Jianye Hao 23 1 0 02 Mar 2023
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 50 13 0 21 Jan 2022
Conditional Imitation Learning for Multi-Agent Games Andy Shih Stefano Ermon Dorsa Sadigh 29 11 0 05 Jan 2022
On Reinforcement Learning for Turn-based Zero-sum Markov Games Devavrat Shah Varun Somani Qiaomin Xie Zhi Xu 13 11 0 25 Feb 2020
Non-Asymptotic Analysis of Monte Carlo Tree Search Devavrat Shah Qiaomin Xie Zhi Xu 11 9 0 14 Feb 2019
Value function approximation via low-rank models H. Ong OffRL 36 20 0 31 Aug 2015