rindow-rl-agents

Samples

Executable programs are under samples/.

Environment Algorithms
CartPole A2C, DQN, PPO, Q-learning, REINFORCE, Sarsa
Maze A2C, DQN, PPO, Q-learning, Sarsa
MountainCar A2C, DQN, PPO, Q-learning, Sarsa
ContinuousMountainCar A2C, DDPG, PPO+gSDE, SAC+gSDE
Pendulum A2C, DDPG, PPO+gSDE, SAC+gSDE

Some CartPole, Maze, ContinuousMountainCar, and Pendulum programs include image observation variants with feature layers.

Run a sample from the repository root so relative model and graphics paths are resolved correctly:

php samples/cartpole-dqn.php

MountainCar samples expose alternative reward transforms for experiments. Raw evaluation reward remains the criterion for solving the original environment. Review each sample’s constants and RL_* environment-variable helpers before launching a long run.