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Quantum Reinforcement Learning Algorithms
This module implements quantum reinforcement learning algorithms that leverage quantum advantage for policy optimization, value function approximation, and exploration strategies in reinforcement learning tasks.
Structsยง
- Experience
- Experience tuple for replay buffer
- QLearning
Stats - Q-learning statistics
- Quantum
Actor Critic - Quantum Actor-Critic agent
- QuantumDQN
- Quantum Deep Q-Network (QDQN) agent
- Quantum
Policy Circuit - Quantum circuit for policy network
- Quantum
Policy Network - Quantum policy network for action selection
- QuantumRL
Config - Configuration for quantum reinforcement learning
- Quantum
Value Circuit - Quantum circuit for value function approximation
- Quantum
Value Network - Quantum value network for Q-function approximation
- Replay
Buffer - Replay buffer for experience storage
- Training
Metrics - Training metrics for quantum RL