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A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:

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hishamcse/DRL-Renegades-Game-Bots

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DRL-Renegades-Game-Bots

Breakout MsPacman Pong Space-Invaders Snowball-Target


A collection of my implemented simple & intermediate RL agents for games like Pacman, Lunarlander, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo, pandagym and sample factory libraries. A lot of agents implemented as part of this free tutorial series on DRL at HuggingFace: Link by Thomas Simonini. The rests were done based on various relevant resources and my ideas. I have added some links in Acknowledgement section below.

Advanced-DRL-Renegades-Game-Bots

To see my advanced & complex agents for complex games like soccer, rubiks-cube, mortal kombat, street fighter, vizdoom, montezuma, kungfu-master and more; visit this repository: https://github.com/hishamcse/Advanced-DRL-Renegades-Game-Bots

Covered DRL Topics

  • Q-learning + DQN
  • Bellman Equation + Monte Carlo
  • Hyperparameter Tuning using Optuna
  • Policy Gradient
  • DDPG & DDPGfD
  • Unity Ml Agents
  • Advantage Actor Critic(A2C) for Robotics
  • Proximal Policy Optimization(PPO) with All Variants
  • Clipped Surrogate Objective Function
  • Sample Factory

Table of Implemented Agents

Environments Libraries Used(includes HF) Algos Kaggle Notebooks
LunarLander-v2 gym, stable-baselines3 PPO Link
LunarLander-v2 gym DQN(Scratch) Link
Huggy unity-mlagents PPO Link
FrozenLake-v1 (all variants) gym Q-Learn (Scratch) Link
Taxi-v3 gym Q-Learn (Scratch) Link
SpacesInvadersNoFrameskip-v4 RL-Baselines3-Zoo, gym, atari DQN(CNNPolicy) Link
CartPole-v1 stable-baselines3, sb3-contrib, optuna, gym, atari, RL-Baselines3-Zoo A2C(MlpPolicy) Link
PongNoFrameskip-v4 stable-baselines3, sb3-contrib, optuna, gym, atari, RL-Baselines3-Zoo PPO(CNNPolicy) Link
BreakoutNoFrameskip-v4 stable-baselines3, sb3-contrib, optuna, gym, atari, RL-Baselines3-Zoo PPO(CNNPolicy) Link
MsPacman-v5 gym, atari DQN(CNNPolicy) - Scratch Link
CartPole-v1 pytorch, gym Policy Gradient-scratch Link
Pixelcopter-PLE-v0 pytorch, gym, pygame Policy Gradient-scratch Link
Pendulum-v1 pytorch, gym DDPG-Scratch Link
Pendulum-v1 pytorch, gym DDPGfD - Scratch Link
Snowball-Target unity-mlagents PPO Link
Pyramids unity-mlagents PPO + RND Link
PandaReachDense-v3 gym, panda-gym, stable-baselines3 A2C(MultiInputPolicy) Link
PandaPickAndPlace-v3 gym, panda-gym, stable-baselines3 A2C(MultiInputPolicy) Link
LunarLander-v2 pytorch, gym PPO (All Variations Scratch) Link

HuggingFace Models

Find all my traned agents at hishamcse agents

Acknowledgements & Resources

My DRL Projects

You can view my Deep Reinforcement Learning projects

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A collection of my implemented RL agents for games like Pacman, Pong, SpaceInvaders, Frozenlake, Taxi, Pixelcopter, Pyramids and a lot more by implementing various DRL algorithms using gym, unity-ml, pygame, sb3, rl-zoo and pandagym libraries. To see more advanced & interesting agents, please visit below link:

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