tu-rbo / learning-state-representations-with-robotic-priors
Code and data accompaning the paper "Learning State Representations with Robotic Priors" (Jonschkowski and Brock, 2015).
☆18Updated 7 years ago
Alternatives and similar repositories for learning-state-representations-with-robotic-priors:
Users that are interested in learning-state-representations-with-robotic-priors are comparing it to the libraries listed below
- ☆19Updated 7 years ago
- a library for deep reinforcement learning, with applications for navigation☆16Updated 6 years ago
- OpenAI Gym environment for DART robotics simulator.☆22Updated 6 years ago
- Code to reproduce the results in the "Unsupervised Learning of Goal Spaces for Intrinsically Motivated Exploration"☆21Updated 6 years ago
- Visual Transition State Clustering☆13Updated 7 years ago
- Transfer Learning Environments☆11Updated 6 years ago
- Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning☆16Updated 6 years ago
- Code for the Black-DROPS algorithm: "Black-Box Data-efficient Policy Search for Robotics", IROS 2017/ICRA 2018☆64Updated 3 years ago
- ☆21Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆34Updated 6 years ago
- Vision code for "Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning", RA-L 2020.☆47Updated 4 years ago
- OpenAI Gym environments using DART☆24Updated last year
- Work on Gaussian Process Implicit Surfaces☆43Updated 7 years ago
- The PyBullet wrapper (Vat) for Neural Task Programming☆34Updated 6 years ago
- Structured framework for learning mechanical systems in PyTorch☆24Updated 5 years ago
- CitySim3D: Simulated car following benchmark☆27Updated 2 years ago
- ☆32Updated 6 years ago
- OpenAI Gym Environment for ROS.☆12Updated 7 years ago
- pybullet grasping with time contrastive network embeddings☆22Updated 5 years ago
- An autonomous exploration library☆65Updated 4 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- Simplified version of "State Representation Learning for Control: An Overview" bibliography☆34Updated 5 years ago
- trust region policy optimization base on gym and tensorflow, can run in distribution mode☆15Updated 7 years ago
- Inferring beliefs about dynamics from behavior☆28Updated 6 years ago
- ☆19Updated 8 years ago
- Code for "Learning 6-DoF Grasping and Pick-Place Using Attention Focus"☆22Updated 6 years ago
- Code for the paper "Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning" (ICRA 2018)☆14Updated 6 years ago
- ☆47Updated 5 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆29Updated 6 years ago
- Rapprentice: software for teaching robots by example☆31Updated 11 years ago