3 papers
cs.LG2026
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…
cs.LG2025
Gradient Enhanced Self-Training Physics-Informed Neural Network (gST-PINN) for Solving Nonlinear Partial Differential Equations
Narayan S Iyer, Bivas Bhaumik, Ram S Iyer +1
Partial differential equations (PDEs) provide a mathematical foundation for simulating and understanding intricate behaviors in both physical sciences and engineering. With the gro…
cs.RO2025
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,…