PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
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Updated
Mar 24, 2023 - Python
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
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
DALF is a joint image keypoint detector and descriptor for handling non-rigid deformations. It also works great under large rotations.
Fast Discounted Cumulative Sums in PyTorch
Chainer implementation of Deepmind's Visual Attention Model paper
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
Step by Step Reinforcement Learning Tutorials.
Implementations of solutions to the continuous mountain car problem. Using OpenAI Gym and Tensorflow 1.1.
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
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