epelRL

Reinforcement learning for process control and optimization

Energy process engineering laboratory (EPEL) at Seoul National University (SNU)

http://epel.snu.ac.kr/

python main.py --algo [ALGORITM] --env [ENVIRONMENT]

• Algorithms

  • Advantage Actor-Critic (A2C)
  • Deep Q-Network (DQN)
  • Quantile Regression DQN (QR-DQN)
  • Deep Deterministic Policy Gradient (DDPG)
  • Trust Region Policy Optimization (TRPO)
  • Proximal Policy Optimization (PPO)
  • Soft Actor-Critic (SAC)
  • Globalized Dual Heuristic Programming (GDHP)
  • Iterative Linear Quadratic Regulator (iLQR)
  • Stochastic Differential Dynamic Programming (SDDP)
  • Policy learning by Weighting Exploration with the Returns (PoWER)
  • Relative Entropy Policy Search (REPS)
  • Policy Improvement with Path Integral (PI2)

• Environment

  • Van de Vusse Process
  • Industrial Batch Polymerization Reactor
  • Fed-Batch Bioreactor
  • Crystallization Reactor
  • Distillation Column
  • Plug Flow Reactor (PFR)