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
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- ☆53Updated 7 years ago
- Inferring beliefs about dynamics from behavior☆29Updated 6 years ago
- ☆34Updated 5 years ago
- ☆49Updated 5 years ago
- ☆33Updated 6 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 9 years ago
- Autoregressive policies for continuous control reinforcement learning☆29Updated 5 years ago
- OpenAI Gym Wrapper for DeepMind Control Suite☆72Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 6 years ago
- Baselines and memory-based scenarios for the ViZDoom simulator☆34Updated 2 years ago
- Guided policy search in Python and ROS Indigo.☆24Updated 7 years ago
- ☆68Updated 3 years ago
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆65Updated 8 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
- Code for Diagnosing Bottlenecks in Deep Q-learning. Contains implementations of tabular environments plus solvers.☆19Updated 5 years ago
- ☆28Updated 7 years ago
- PGQ is an approach to combine Policy Gradient and Q-Learning. This repository will contain an implementation of PGQ.☆15Updated 8 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
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆29Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- Code for running EX2: Exploration with Exemplar Models for Deep Reinforcement Learning☆9Updated 7 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- ☆32Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆55Updated 5 years ago