Somnath Hazra

Incentivizing Safer Actions in Policy Optimization for Constrained Reinforcement Learning

Constrained Reinforcement Learning (RL) aims to maximize the return while adhering to predefined constraint limits, which represent domain-specific safety requirements. In continuous control settings, where learning agents govern system actions, balancing the trade-off between reward maximization an