Dealing with Sparse Rewards in Reinforcement Learning

21 October 2019

Papers citing "Dealing with Sparse Rewards in Reinforcement Learning"

8 / 8 papers shown

Title
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards Zijing Hu Fengda Zhang Long Chen Kun Kuang Jiahui Li Kaifeng Gao Jun Xiao X. Wang Wenwu Zhu EGVM 51 0 0 14 Mar 2025
Efficient Diversity-based Experience Replay for Deep Reinforcement Learning Kaiyan Zhao Yiming Wang Yuyang Chen Xiaoguang Niu Yan Li Leong Hou U 33 1 0 27 Oct 2024
On shallow planning under partial observability Randy Lefebvre Audrey Durand OffRL 31 0 0 22 Jul 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 37 3 0 20 May 2024
A Survey on Self-Evolution of Large Language Models Zhengwei Tao Ting-En Lin Xiancai Chen Hangyu Li Yuchuan Wu Yongbin Li Zhi Jin Fei Huang Dacheng Tao Jingren Zhou LRM LM&Ro 54 22 0 22 Apr 2024
Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response Lei Han Chunyu Tu Zhiwen Yu Zhiyong Yu Weihua Shan Liang Wang Bin Guo 14 2 0 21 Aug 2023
AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks Mulong Luo Wenjie Xiong G. G. Lee Yueying Li Xiaomeng Yang Amy Zhang Yuandong Tian Hsien-Hsin S. Lee G. E. Suh AAML 34 10 0 17 Aug 2022
Collaborative Training of Heterogeneous Reinforcement Learning Agents in Environments with Sparse Rewards: What and When to Share? Alain Andres Esther Villar-Rodriguez Javier Del Ser 12 9 0 24 Feb 2022