Muhammad Qomaruz Zaman

Mitigating Intra-Task Policy Collapse in Proximal Policy Optimization (Ppo) Via Rollout Buffer Stabilization: a Case Study on Bipedalwalker Continuous Control

Dynamic balance control for bipedal robots in continuous action spaces is a complex problem in deep reinforcement learning. While Proximal Policy Optimization (PPO) is a standard algorithm for such tasks, it can suffer from intra-task policy collapse in episodic environments. This study investigates the effect of rollo...