Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
-
Updated
Mar 31, 2024 - Python
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
A PyTorch library for building deep reinforcement learning agents.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Implementation of algorithms for continuous control (DDPG and NAF).
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.
scalable multi agents reinforcement learning
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
Implemenation of DDPG with numpy only (without Tensorflow)
Multi-Agent training using Deep Deterministic Policy Gradient Networks, Solving the Tennis Environment
Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)
Tensorflow implementation of reinforcement learning (PG, A2C, DQN, DDPG, PPO, HER, SAC)
Various machine learning implementations and tools
Goal-conditioned reinforcement learning like 🔥
Implementation of deep deterministic policy gradient with Wolpertinger
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
Add a description, image, and links to the deep-deterministic-policy-gradient topic page so that developers can more easily learn about it.
To associate your repository with the deep-deterministic-policy-gradient topic, visit your repo's landing page and select "manage topics."