clamesc / Training-Neural-Networks-for-Event-Based-End-to-End-Robot-ControlLinks
TUM Master’s thesis: Steering a robot with an event-based vision sensor in a lane-keeping task using methods such as Deep Reinforcement Learning or Spiking Neural Networks.
☆57Updated 7 years ago
Alternatives and similar repositories for Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control
Users that are interested in Training-Neural-Networks-for-Event-Based-End-to-End-Robot-Control are comparing it to the libraries listed below
Sorting:
- Spiking-DDPG trains an SNN for energy-efficient mapless navigation on Intel's Loihi neuromorphic processor.☆74Updated 3 years ago
- Reinforcement Learning framework for Robotics☆89Updated 3 years ago
- TensorSwarm: A framework for reinforcement learning of robot swarms.☆119Updated 5 years ago
- An environment for an obstacle avoidance task☆35Updated 4 years ago
- ☆105Updated 7 years ago
- Quadrotor LAnding Benchmarking (QLAB) is a simulated environment for developing and testing landing algorithms for unmanned aerial vehicl…☆30Updated 5 years ago
- A toolkit for developing and comparing reinforcement learning algorithms using ROS, Player/Stage and Gazebo.☆24Updated 7 years ago
- Using Openai & ROS☆34Updated 6 years ago
- ☆80Updated 5 years ago
- Visuomotor policies from event-based cameras through representation learning and reinforcement learning. Accompanies our paper: https://a…☆57Updated 2 years ago
- A fully working implementation of RATSLAM in Python, using OpenCV.☆45Updated 11 years ago
- DRL with population coded spiking neural network for optimal and energy-efficient continuous control.☆59Updated 3 years ago
- Reinforcement Learning framework for MAVs using the OpenAI Gym environment☆100Updated 3 years ago
- Neurorobotics 2020☆17Updated 2 years ago
- Distributed (and single-agent) reinforcement learning code for simulated multi-robot distributed assembly.☆25Updated 7 years ago
- A Framework for Zero-Shot Sim2Real Drone Racing☆106Updated 5 years ago
- Implementation of Vector Based Navigation using Grid-like cells using Tensorflow and Numpy☆35Updated 2 years ago
- LIDAR based Obstacle Avoidance with Reinforcement Learning☆67Updated 6 years ago
- Reinforcement learning framework for spiking neural network actors with R-STDP for the master's thesis "Training Spiking Neural Networks …☆20Updated 3 years ago
- RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. …☆32Updated 4 years ago
- ROS Robotic Deep Learning☆183Updated 5 years ago
- Public repository for Air Learning project☆227Updated 4 years ago
- Reactive crowd simulator used in the IROS 2020 paper: "L2B: Learning to Balance the Safety-Efficiency Trade-off in Interactive Crowd-awar…☆23Updated 4 years ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆37Updated 6 years ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆44Updated 6 years ago
- The underwater robot obstacle avoidance project with the method of deep reinforcement learning☆48Updated 3 years ago
- V-REP integrated with OpenAI Gym☆47Updated 6 years ago
- Learning multi-agent robotic mobile manipulation with deep reinforcement learning☆105Updated 3 years ago
- Python code for Deep Reinforcement Learning with Transfer Learning in a Simulated Environment☆74Updated 2 years ago
- Reinforcement learning for Robotics with V-Rep☆27Updated 6 years ago