There are 4 repositories under reinforce topic.
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
DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.
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.
Chainer implementation of Deepmind's Visual Attention Model paper
Reinforcement Learning Algorithms in FrozenLake-v1
Reinforce learning is awesome!
[BMM 24-25] "Just Relax It": Implementation of different relaxation methods
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
clear single-file JAX implementations of common RL algorithms
A Julia package for differentiating through expectations with Monte-Carlo estimates
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
Reinforcement learning for batch bioprocess optimization (Computers & Chemical Engineering, 2020)
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 you to avoid using this repo for purposes other than educational.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3.
Take the code of the reinforcement learning algorithm here~
Step by Step Reinforcement Learning Tutorials.
Implementations of solutions to the continuous mountain car problem. Using OpenAI Gym and Tensorflow 1.1.
Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal CleanRL
Implementation of Reinforcement Algorithms from scratch
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
Transfer Learning in RL to improve sample efficiency
My solution to the Harvest Competition