duckworthd / inverse-reinforcement-learningLinks
☆16Updated 14 years ago
Alternatives and similar repositories for inverse-reinforcement-learning
Users that are interested in inverse-reinforcement-learning are comparing it to the libraries listed below
Sorting:
- Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning☆43Updated 7 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- TensorFlow implementation of Value Iteration Networks (VIN): Clean, Simple and Modular☆52Updated 8 years ago
- ☆24Updated 10 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- Deep Attention Recurrent Q-Network☆115Updated 9 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- General purpose framework for deep reinforcement learning☆72Updated 8 years ago
- A python client for the Simulated Car Race Championship☆41Updated 13 years ago
- BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms☆34Updated 9 years ago
- Collection of reinforcement learners implemented in python. Mainly including DQN and its variants☆54Updated 8 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆43Updated 9 years ago
- These are experiments for examining reproducibility in Policy Gradient RL algorithms in Continuous domains. Mainly using the Rllab implem…☆17Updated 8 years ago
- Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications☆61Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- ☆98Updated 9 years ago
- ☆69Updated 7 years ago
- A list of deep neural network architectures for reinforcement learning tasks.☆171Updated 9 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago
- ☆79Updated 7 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017☆151Updated last year
- ☆30Updated 8 years ago
- TensorFlow A2C to solve Acrobot, with synchronized parallel environments☆35Updated 7 years ago
- From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)☆42Updated 8 years ago
- PyTorch implementation of the Value Iteration Networks (VIN) (NIPS '16 best paper)☆80Updated 8 years ago
- Reason8.ai PyTorch solution for NIPS RL 2017 challenge☆84Updated 6 years ago
- Deterministic Policy Gradient using torch7☆43Updated 9 years ago
- Asynchronous Advantage Actor Critic☆20Updated 9 years ago