mcastron / BBRL
BBRL is a C++ open-source library used to compare Bayesian reinforcement learning algorithms
☆34Updated 9 years ago
Alternatives and similar repositories for BBRL:
Users that are interested in BBRL are comparing it to the libraries listed below
- ☆28Updated 6 years ago
- ☆19Updated 9 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- ☆68Updated 6 years ago
- Implementation is mostly based on Sergey Levine work (http://www.eecs.berkeley.edu/~svlevine/).☆43Updated 10 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- Tutorial on continuous control at Reinforcement Learning Summer School 2017.☆34Updated 7 years ago
- reinforcement learning. policy gradient. PCL☆37Updated 8 years ago
- Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications☆61Updated 7 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- ☆24Updated 9 years ago
- Torch7 impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆42Updated 9 years ago
- An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow☆74Updated 8 years ago
- This is the implementation of paper Model Free Episodic Control☆35Updated 5 years ago
- trust region policy optimization base on gym and tensorflow, can run in distribution mode☆15Updated 8 years ago
- Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment☆24Updated 8 years ago
- Skip Context Tree Switching - Reference Implementation☆51Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- Universal library for deep reinforcement learning.☆38Updated 9 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- ☆159Updated 7 years ago
- Generative Sparse Distributed Representations, a fast generative model written in Python (Original C++ implementation https://github.com/…☆24Updated 8 years ago
- Torch implementation of "Deep Exploration via Bootstrapped DQN"☆42Updated 9 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 8 years ago
- Python implementation of tabular asynchronous actor critic☆11Updated 9 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- ☆97Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Asynchronous Advantage Actor Critic☆20Updated 8 years ago
- Our NIPS 2017: Learning to Run source code☆55Updated 2 years ago