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48 search results found

Habitat Lab ⭐ 1,670

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Gibsonenv ⭐ 814

Gibson Environments: Real-World Perception for Embodied Agents

Gym Gazebo ⭐ 673

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

Neural Slam ⭐ 592

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Visual Pushing Grasping ⭐ 383

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

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Reward Learning Rl ⭐ 348

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

Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Drl_grasping ⭐ 196

Deep Reinforcement Learning for Robotic Grasping from Octrees

Gym Gazebo2 ⭐ 193

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Object Goal Navigation ⭐ 177

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022.

This my 3d printed robot arm project

Tactile_gym ⭐ 73

Suite of PyBullet reinforcement learning environments targeted towards using tactile data as the main form of observation.

Good_robot ⭐ 66

"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer; and “Good Robot!”: Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer

Spatial Intention Maps ⭐ 65

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

RoboVat: A unified toolkit for simulated and real-world robotic task environments.

Min Decision Transformer ⭐ 47

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Policy Adaptation During Deployment ⭐ 46

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

Ai Projects ⭐ 45

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)

QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

Gym Vrep ⭐ 36

Open-AI Gym extension for robotics based on V-REP

Awesome Machine Learning Robotics ⭐ 32

A curated list of resources about Machine Learning for Robotics

Tentabot ⭐ 26

Tentabot: Navigation Framework for Mobile Robots by Evaluating Motion Primitives (Tentacles)

Pic4rl_gym ⭐ 25

This is the official repository of the PIC4rl-gym presented in the paper https://ieeexplore.ieee.org/abstract/document/1019 (Accepted at ICCCR 2023).

Spatial Action Maps ⭐ 23

Learning robotic mobile manipulation with deep reinforcement learning

Logisticsenv ⭐ 23

UAV Logistics Environment for Multi-Agent Reinforcement Learning / Unity ML-Agents / Unity 3D

Deepgame ⭐ 20

Multi-agent reinforcement learning programs based on Game theory

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Uav_obstacle_avoidance_controller ⭐ 18

UAV Obstacle Avoidance using Deep Recurrent Reinforcement Learning with Temporal Attention

Mobile_robot_rl ⭐ 17

Mobile robot control in V-REP using Deep Reinforcement Learning Algorithms.

Pop Spiking Deep Rl ⭐ 17

DRL with population coded spiking neural network for optimal and energy-efficient continuous control.

Awesome Ai Brain Computer Interface ⭐ 16

Must-read papers on machine learning, deep learning, reinforcement learning and other learning methods for brain-computer interfaces.

Paper Survey ⭐ 15

Coadaptation ⭐ 14

Repository replicating the design- and behaviour-adaptation algorithm using reinforcement learning algorithm presented in the paper " Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning"

Multiros ⭐ 14

MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.

Rl Based Control Of A Soft Continuum Robot ⭐ 10

Simulation based Soft Continuum Robot Control via Reinforcement Learning

Rl Botics ⭐ 10

Deep Reinforcement Learning Toolbox for Robotics using Keras and TensorFlow

Intrinsic Motivation ⭐ 9

Using multiple sensor modalities to improve exploration for robotic manipulation tasks with sparse rewards

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.

Peg_in_hole_assembly ⭐ 7

Deep reinforcement learning for robotic peg-in-hole assembly task

Udacity_projects_master_repo ⭐ 7

Contains my solutions for various Nanodegree Programs (Robotics, Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Computer Vision, Sensor Fusion, Flying Cars).

Deeprl Ai ⭐ 5

Deep Reinforcement Learning and Artificial Intelligence in Robotics

Multi Level Rl For Robotics ⭐ 5

A library for training robots using RL under the scheme of multi-level RL.

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