PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation

Custom module that overrides gym to integrate custom environments from the lab.

一些利用pytorch编程实现的强化学习例子

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

This repository is an integration of Mask RCNN (object detection and segmentation) and ROS to implement automated pick and place operation using the UR10 robot arm.

Implementation of DDPG+HER on gym robotics environment FetchReach-v1

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

Implementation of algorithms for continuous control (DDPG and NAF).

TensorFlow implementation of Deep Reinforcement Learning papers

RLbox: Solving OpenAI Gym with TensorFlow

Simulator of UR5 robotic arm with Robotiq gripper, built with MuJoCo

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using …

An Implementation of Fully Convolutional Networks in Tensorflow.

A list of recent papers regarding deep reinforcement learning