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Rafael1s / Deep-Reinforcement-Learning-Algorithms

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32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

deep-reinforcement-learning dqn cartpole ddpg sac deep-rl-algorithms ppo a2c lunarlander td3 soft-actor-critic bipedalwalker carracing github-udacity dqn-ppo-ddpg hopperbulletenv antbulletenv halfcheetahbulletenv walker2dbulletenv
  • Updated Jun 17, 2021
  • Jupyter Notebook

wadekarg / RL-interactive-lab

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An interactive browser-based playground to learn reinforcement learning — from bandits to policy gradients. Watch 13 algorithms learn in real time across 4 environments (Bandit, GridWorld, CartPole, Rocket Landing), tune hyperparameters, and follow a built-in 10-chapter course. No backend, no account — just open and learn.

education reinforcement-learning q-learning policy-gradient cartpole reinforcement-learning-algorithms gridworld bandit deep-rl-algorithms bandit-algorithms rl-environment rl-algorithms multiarmed-bandits open-gym-ai q-learning-algorithm rl-agent
  • Updated Apr 1, 2026
  • TypeScript

SaiSampathKedari / Deep-Reinforcement-Learning

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Deep Reinforcement Learning from mathematical foundations to PyTorch implementations: rigorous proofs, step-by-step derivations of objectives and gradient estimators, and reproducible experiments on Gymnasium and MuJoCo benchmarks spanning policy gradients, actor-critic methods, value-based learning, and continuous control.

reinforcement-learning deep-reinforcement-learning policy-gradient reinforcement-learning-algorithms gymnasium robot-learning actor-critic deep-rl-algorithms advantage-actor-critic a2c generalized-advantage-estimation deep-rl-implementations sutton-barto
  • Updated Aug 9, 2026
  • Python

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