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

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

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

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