https://github.com/shaheennabi/reinforcement-or-deep-reinforcement-learning-practices-and-mini-projects

Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!
https://github.com/shaheennabi/reinforcement-or-deep-reinforcement-learning-practices-and-mini-projects

actor-critic-algorithm agent markov-decision-processes model-based-rl model-free-rl monte-carlo policy-gradient policy-optimization proximal-policy-optimization reinforcement-learning research temporal-differencing-learning

Last synced: 2 months ago
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Reinforcement Learning (RL)! This repository is your hands-on guide to implementing RL algorithms, from Markov Decision Processes (MDPs) to advanced methods like PPO and DDPG. Build smart agents, learn the math behind policies, and experiment with real-world applications!

• Host: GitHub
• URL: https://github.com/shaheennabi/reinforcement-or-deep-reinforcement-learning-practices-and-mini-projects
• Owner: shaheennabi
• License: mit
• Created: 2024-10-14T16:27:15.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-10-02T14:42:46.000Z (3 months ago)
• Last Synced: 2025-10-02T16:29:10.592Z (3 months ago)
• Topics: actor-critic-algorithm, agent, markov-decision-processes, model-based-rl, model-free-rl, monte-carlo, policy-gradient, policy-optimization, proximal-policy-optimization, reinforcement-learning, research, temporal-differencing-learning
• Homepage:
• Size: 52.7 KB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Reinforcement-or-Deep-Reinforcement-Learning-Practices-and-Mini-Projects 

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