Co-occurring keywords · papers mentioning both
Papers
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
ICML 2025
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
ICML 2025
Neuroplastic Expansion in Deep Reinforcement Learning
ICLR 2025
Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline
ICLR 2025
Self-Normalized Resets for Plasticity in Continual Learning
ICLR 2025
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
NeurIPS 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult?
NeurIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
NeurIPS 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
ICML 2024
Deep Reinforcement Learning with Plasticity Injection
NeurIPS 2023