Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation
Researchers have found that the architecture of critics in reinforcement learning significantly impacts humanoid robot performance. A dual-critic system, which uses separate critics for locomotion and manipulation, outperformed a unified-critic system in tasks requiring both actions. The dual-critic approach led to 3.5x faster target acquisition and double the throughput in simulated tests. AI
IMPACT Dual-critic architectures may offer a more efficient path for training complex humanoid robot behaviors, potentially accelerating development in robotics.