dusty-nv / jetson-reinforcement
Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.
☆896Updated 2 years ago
Alternatives and similar repositories for jetson-reinforcement:
Users that are interested in jetson-reinforcement are comparing it to the libraries listed below
- Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version☆833Updated 5 years ago
- gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo☆431Updated 5 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆624Updated 3 years ago
- Self-driving car simulator for the Duckietown universe☆59Updated 2 months ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆373Updated 2 years ago
- ☆339Updated 6 years ago
- Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab☆487Updated 4 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆837Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,928Updated last year
- Gibson Environments: Real-World Perception for Embodied Agents☆879Updated 9 months ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,333Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆1,904Updated last year
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆659Updated 4 years ago
- Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes☆286Updated 2 years ago
- An open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.☆431Updated 2 months ago
- ROS package for dynamic obstacle avoidance for ground robots trained with deep RL☆604Updated 3 years ago
- Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym envir…☆274Updated 6 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,116Updated last year
- SenseAct: A computational framework for developing real-world robot learning tasks☆216Updated last year
- Reinforcement Learning with Deep Energy-Based Policies☆418Updated last year
- Reinforcement learning environments with musculoskeletal models☆903Updated 2 years ago
- A toolkit for robot learning research.☆712Updated 5 months ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,254Updated last year
- Reinforcement Learning in PyTorch☆2,241Updated 4 years ago
- Prototyping robots for PyBullet (F1/10 MIT Racecar, Sawyer, Baxter and Dobot arm, Boston Dynamics Atlas and Botlab environment)☆509Updated 5 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆560Updated 3 years ago
- Implementation of TRPO and related algorithms☆624Updated 6 years ago
- Python library for Reinforcement Learning.☆849Updated 3 weeks ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆607Updated 8 months ago
- Collection of reinforcement learning algorithms☆2,560Updated 7 months ago