A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning

29 May 2024

Papers citing "A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning"

5 / 5 papers shown

Title
Understanding and Exploiting Plasticity for Non-stationary Network Resource Adaptation Zhiqiang He Zhi Liu CLL 51 0 0 02 May 2025
FT-MoE: Sustainable-learning Mixture of Experts Model for Fault-Tolerant Computing with Multiple Tasks Wenjing Xiao Wenhao Song Miaojiang Chen Ruikun Luo Min Chen MoE 42 0 0 29 Apr 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 43 0 0 24 Apr 2025
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 69 25 0 19 Jun 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 85 178 0 16 May 2022