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crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

deepq-grasping

deeprl-robot-arm

Deep reinforcement learning on NVIDIA Jetson tx2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

ggcnn

Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)

hindsight-experience-replay

Implementation of HER algorithm in the bit-flipping environment.

interpolated-policy-gradient-with-ppo-for-robotics-control-

Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gradient and Hindsight Experience Replay (HER)

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

pyrep

A toolkit for robot learning research.

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

reinforcement_learning_in_python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

reward-learning-rl

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

rl-robot

Reinforcement Learning framework for Robotics

robot-skills

Dynamic Movement Primitives and Reinforcement Learning for a Ping Pong playing Robot

robotics-gym

A toolkit for developing and comparing reinforcement learning algorithms using ROS, Player/Stage and Gazebo.

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

snake_locomotion

Simulating a snake locomotion using PyBullet as a course project for Animation (CPSC 526 - UBC)

ur5_drl

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

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.