Reinforcement Learning For Large Deviations in Non-Equilibrium Systems with Memory

A 10-minute conference talk titled "Reinforcement Learning For Large Deviations in Non-Equilibrium Systems with Memory" presented by Venkata Da at the 10th Indian Statistical Physics Community Meeting organized by the International Centre for Theoretical Sciences. Explore how reinforcement learning techniques can be applied to study large deviations in non-equilibrium systems that exhibit memory effects. This presentation is part of a broader discussion meeting attended by scientists, postdoctoral fellows, and graduate students from across India working in statistical physics. The meeting covers diverse topics including out-of-equilibrium aspects, quantum fluids, disordered systems, biological physics, soft matter, nonlinear physics, and interdisciplinary complex systems. The conference takes place from April 23-25, 2025, at the Ramanujan Lecture Hall, ICTS Bengaluru.