nnaisense / 2017-learning-to-run
The Winning Solution for the Learning To Run Challenge 2017
☆61Updated 6 years ago
Alternatives and similar repositories for 2017-learning-to-run:
Users that are interested in 2017-learning-to-run are comparing it to the libraries listed below
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 5 years ago
- third person imitation learning. Archival only.☆76Updated 5 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- NIPS2017 challenge☆47Updated 6 years ago
- ☆28Updated 7 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆151Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- A parallel version of Trust Region Policy Optimization☆65Updated 8 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- ☆159Updated 7 years ago
- Modular multitask reinforcement learning with policy sketches☆108Updated 3 years ago
- ☆33Updated 6 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago
- ☆49Updated 5 years ago
- [ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration☆203Updated 6 years ago
- Visual MPC implementation running on Rethink Sawyer Robot☆61Updated 5 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆177Updated 4 months ago
- RL framework for embodied agents based on PyTorch☆12Updated 5 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Design good curriculums for deep reinforcement learning☆14Updated 8 years ago
- Models built with TensorFlow