memorax.algorithms

Reinforcement learning algorithms for training agents.

PPO

PPO - Proximal Policy Optimization for discrete and continuous action spaces.

PPOConfig - Configuration dataclass for PPO.

PPOState - Training state for PPO.

DQN

DQN - Deep Q-Network with double and dueling variants.

DQNConfig - Configuration dataclass for DQN.

DQNState - Training state for DQN.

SAC

SAC - Soft Actor-Critic for continuous control.

SACConfig - Configuration dataclass for SAC.

SACState - Training state for SAC.

PQN

PQN - Parallelised Q-Network (on-policy Q-learning).

PQNConfig - Configuration dataclass for PQN.

PQNState - Training state for PQN.