A Real-World Benchmark for Reinforcement Learning based Recommender System
RL4RS is a real-world deep reinforcement learning recommender system benchmark for practitioners and researchers.
import gym
from rl4rs.env.slate import SlateRecEnv, SlateState
sim = SlateRecEnv(config, state_cls=SlateState)
env = gym.make('SlateRecEnv-v0', recsim=sim)
for i in range(epoch):
obs = env.reset()
for j