mcgillmrl / robot_learning
ROS package for robot learning
☆17Updated 5 years ago
Alternatives and similar repositories for robot_learning:
Users that are interested in robot_learning are comparing it to the libraries listed below
- Library for model based RL in robotics☆37Updated 6 years ago
- ☆49Updated 5 years ago
- ☆53Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- ☆28Updated 7 years ago
- Guided policy search in Python and ROS Indigo.☆24Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- ☆33Updated 6 years ago
- Sawyer environments for reinforcement learning using the OpenAI Gym interface (EXPERIMENTAL)☆37Updated 5 years ago
- Proximal Policy Option-Critic☆22Updated 6 years ago
- ☆25Updated 6 years ago
- Exploring by Minimizing Uncertainty of Q values (EMU-Q) as presented in "Bayesian RL for Goal-Only Rewards" at CoRL'18.☆10Updated 6 years ago
- ☆34Updated 5 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆72Updated 3 years ago
- ☆13Updated 7 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 7 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆17Updated 5 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆34Updated 2 years ago
- https://sites.google.com/view/replab/☆26Updated last year
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago
- ☆68Updated 3 years ago
- Guided-Meta Policy Search☆41Updated 2 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 3 years ago
- ☆32Updated 6 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Updated 5 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago