Sample-Efficient Deep Reinforcement Learning via Episodic Backward
Update

Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update

31 May 2018

Sae-Young Chung

Papers citing "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update"

11 / 11 papers shown

Title
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Abdulaziz Almuzairee Rohan Patil Dwait Bhatt Henrik I. Christensen 34 0 0 07 May 2025
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards Alain Andres Daochen Zha Javier Del Ser 37 0 0 01 Nov 2023
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning Jinyi Liu Y. Ma Jianye Hao Yujing Hu Yan Zheng Tangjie Lv Changjie Fan OffRL 44 2 0 27 Jun 2023
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan M Sander Wilko Schwarting Tim Seyde Igor Gilitschenski S. Karaman Daniela Rus 41 2 0 18 May 2022
Sequential memory improves sample and memory efficiency in Episodic Control Ismael T. Freire A. F. Amil P. Verschure OffRL 13 3 0 29 Dec 2021
Replay For Safety Liran Szlak Ohad Shamir OffRL 16 0 0 08 Dec 2021
Convergence Results For Q-Learning With Experience Replay Liran Szlak Ohad Shamir OffRL 29 5 0 08 Dec 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 22 19 0 03 Nov 2021
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience C. Banerjee Zhiyong Chen N. Noman 13 30 0 24 Sep 2021
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey Sanmit Narvekar Bei Peng Matteo Leonetti Jivko Sinapov Matthew E. Taylor Peter Stone ODL 152 458 0 10 Mar 2020
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 212 0 20 Jun 2018