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

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

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

Fast Discounted Cumulative Sums in PyTorch

自动加固Android App

DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.

High-quality implementations of deep reinforcement learning algorithms for experiments

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

The implement of the policy gradient RL algorithm with pytorch

Chainer implementation of Deepmind's Visual Attention Model paper

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

android加固插件，支持360加固、乐固

Reinforcement Learning Algorithms in FrozenLake-v1

[BMM 24-25] "Just Relax It": Implementation of different relaxation methods

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.

A Julia package for differentiating through expectations with Monte-Carlo estimates