Accelerating Research in Plasticity-Motivated Deep Reinforcement Learning.
The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)
Source code of the ICML24 paper "Self-Composing Policies for Scalable Continual Reinforcement Learning" (selected for oral presentation)
Agar.io for Continual Reinforcement Learning
The official implementation of Memory-efficient DQN algorithm.
Activation Function Design Sustains Plasticity in Continual Learning. Published at ICLR 2026
implementation of "Knowledge Retention in Continual Model-Based Reinforcement Learning"
A content recommendation platform powered by LLM agents and continuously fine-tuned LoRA adapters that dynamically learn from user feedback to deliver personalized recommendations over time.
Continual Reinforcement Learning for Adaptive Ocean Thermal Energy Conversion Control using PPO and Elastic Weight Consolidation
CleanRL implementation of "Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn"
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