Portfolio

Reinforcement Learning for Multi-Echelon Supply Chain Optimization

RL agents that match classical optimal stock policies on fixed lead-times and outperform them when lead-times vary.

Optimality gap vs Clark-Scarf

0.02%

Lift vs alternatives (varying LT)

+4.1%

• Reinforcement learning
• DQN
• A2C
• PPO
• Supply chain
• Operations research
• Clark-Scarf