Sahana Joshi

About

Sahana Joshi is a rising researcher at the forefront of lifelong learning and autonomous decision-making, with a focus on creating AI systems that adapt continuously in dynamic, real-world environments. Her most cited work, "System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games" (2022), lays the architectural groundwork for agents capable of ongoing skill acquisition without catastrophic forgetting—a critical challenge in robotics and AI. By integrating reinforcement learning with modular system design, Joshi’s research directly addresses the need for Lifelong Learning Machines that can operate reliably in unpredictable settings, from strategy games to real-world robotic deployments. While her citation count is still growing, her contributions are already shaping how researchers approach continual learning in complex, time-sensitive domains. Her work signals a significant step toward more resilient, adaptive artificial intelligence, and she is increasingly recognized for bridging theoretical lifelong learning frameworks with practical, deployable system architectures.

Research Focus

Key Achievements

Top Papers

1. 1
   System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games

   2 citations · 2022

Key Collaborators

Contact & Links