Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

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RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

🔬 Some deep learning projects.

Courses for Robotics

Check out the new game server:

This project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.

Python3 ROS Interface to Rethink Sawyer Robots with OpenAI Gym Compatibility

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

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Basic robotics using pygame visualization.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines from OpenAI

Motion imitation with deep reinforcement learning.

Python sample codes and textbook for robotics algorithms.

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

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action