Expand description
Quantum Reinforcement Learning with Continuous Actions
This module extends quantum reinforcement learning to support continuous action spaces, implementing algorithms like DDPG, TD3, and SAC adapted for quantum circuits.
Structs§
- Experience
- Single experience tuple
- Pendulum
Environment - Pendulum environment for continuous control
- Quantum
Actor - Quantum actor network for continuous actions
- Quantum
Critic - Quantum critic network for value estimation
- QuantumDDPG
- Quantum Deep Deterministic Policy Gradient (QDDPG)
- QuantumSAC
- Quantum Soft Actor-Critic (QSAC)
- Replay
Buffer - Experience replay buffer for continuous RL
Traits§
- Continuous
Environment - Continuous action environment trait