7 papers
Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Autonomous AI agents operating in dynamic environments face a persistent challenge: acquiring new capabilities without erasing prior knowledge. We present Adaptive Memory Crystalli…
The Future of Software Testing: AI-Powered Test Case Generation and Validation
Mohammad Baqar, Rajat Khanda
Software testing is a crucial phase in the software development lifecycle (SDLC), ensuring that products meet necessary functional, performance, and quality benchmarks before relea…
AI-Augmented CI/CD Pipelines: From Code Commit to Production with Autonomous Decisions
Mohammad Baqar, Saba Naqvi, Rajat Khanda
Modern software delivery has accelerated from quarterly releases to multiple deployments per day. While CI/CD tooling has matured, human decision points interpreting flaky tests, c…
Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
Rajat Khanda, Mohammad Baqar, Sambuddha Chakrabarti +1
Group Relative Policy Optimization (GRPO) has shown promise in discrete action spaces by eliminating value function dependencies through group-based advantage estimation. However,…
Self-Healing Software Systems: Lessons from Nature, Powered by AI
Mohammad Baqar, Rajat Khanda, Saba Naqvi
As modern software systems grow in complexity and scale, their ability to autonomously detect, diagnose, and recover from failures becomes increasingly vital. Drawing inspiration f…
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA
Mohammad Baqar, Rajat Khanda
Recent advancements in Generative AI have significantly improved the efficiency and adaptability of natural language processing (NLP) systems, particularly through Retrieval-Augmen…