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

"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Fast Discounted Cumulative Sums in PyTorch

Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning

High-quality implementations of deep reinforcement learning algorithms for experiments

The implement of the policy gradient RL algorithm with pytorch

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.

Reinforce learning is awesome!

Chainer implementation of Deepmind's Visual Attention Model paper

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

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

Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359

clear single-file JAX implementations of common RL algorithms

Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal CleanRL

The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest yo…

Take the code of the reinforcement learning algorithm here~