CartPole

CartPole is a benchmark environment used to evaluate quantum reinforcement learning algorithms, where the goal is to balance a pole on a moving cart.

Papers using CartPole (3)

PPO-Q: Proximal Policy Optimization with Parametrized Quantum Policies or Values2025Quantum Advantage Actor-Critic for Reinforcement Learning2024 · 15 citesA Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning2024