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
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.
implementation of "Knowledge Retention in Continual Model-Based Reinforcement Learning"
CleanRL implementation of "Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn"
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