Popular GitHub Repositories for Reinforce

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

? Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

PyTorch Implementation of REINFORCE for both discrete & continuous control

High-quality implementations of deep reinforcement learning algorithms for experiments

The implement of the policy gradient RL algorithm with pytorch

Chainer implementation of Deepmind's Visual Attention Model paper

Implementing obstacle avoidance and path planning for the Pioneer 3-DX robot using Python, PyTorch, and the deep reinforcement learning algorithm REINFORCE in the Webots Simulator.

Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.

clear single-file JAX implementations of common RL algorithms

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

Step by Step Reinforcement Learning Tutorials.

Take the code of the reinforcement learning algorithm here~

Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)

Solutions to the Harvest CPR appropriation problem with policy gradient methods and social learning, for Autonomous and Adaptive Systems class at UNIBO

implementation of reinforcement learning algorithm that is easy to read and understand

Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal [CleanRL](https://github.com/vwxyzjn/cleanrl)

reinforcement learning algorithms in tensorflow 2

This repository is a reproduction of the reinforcement learning algorithm I have learned. It is convenient to quickly understand the implementation and principle of the algorithm in combination with theory.

Implementation code when learning deep reinforcement learning