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
"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
Chainer implementation of Deepmind's Visual Attention Model paper
Deep Reinforcement Learning algorithms for Policy Value methods written from scratch.
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.
Community Regularization of Visually Grounded Dialog https://arxiv.org/abs/1808.04359
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…
P. Petsagkourakis, I. O. Sandoval, E. Bradford, D. Zhang, E.A. del Rio-Chanona, Reinforcement learning for batch bioprocess optimization, Computers & Chemical Engineering, Volume 133, 2020
Implementations of solutions to the continuous mountain car problem. Using OpenAI Gym and Tensorflow 1.1.
Implementation of Reinforcement Algorithms from scratch
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