Autoregressive policies for continuous control reinforcement learning
☆32May 15, 2019Updated 6 years ago
Alternatives and similar repositories for arp
Users that are interested in arp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation of HEAD CoRL 2025☆24Aug 22, 2025Updated 7 months ago
- Pytorch package for geometric softmax☆12Jun 13, 2019Updated 6 years ago
- Repository containing code for getting statistical guarantees on properties of BNNs☆13Apr 24, 2019Updated 6 years ago
- Vision code for "Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning", RA-L 2020.☆48Aug 19, 2020Updated 5 years ago
- Affordance Learning for End-to-End Visuomotor Robot Control☆13Mar 12, 2019Updated 7 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Jan 7, 2021Updated 5 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- (Experimental) ROS packages for Blue + Gazebo☆15Aug 4, 2019Updated 6 years ago
- ☆47Jun 19, 2018Updated 7 years ago
- Lecture notes of cs294-2017Fall☆10Feb 28, 2018Updated 8 years ago
- Image-based visual servoing for eye-in-hand industrial manipulators☆39Jan 3, 2021Updated 5 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Sep 2, 2024Updated last year
- Planning Beyond the Sensing Horizon Using a Learned Context☆10Jun 9, 2020Updated 5 years ago
- A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions☆22Feb 17, 2021Updated 5 years ago
- Implementation of the RA-L2023 paper: Part-Guided 3D RL for Sim2Real Articulated Object Manipulation☆29Dec 27, 2024Updated last year
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆32Apr 15, 2019Updated 6 years ago
- SenseAct: A computational framework for developing real-world robot learning tasks☆224Feb 3, 2023Updated 3 years ago
- System identification in PyTorch☆27Mar 31, 2023Updated 2 years ago
- Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... …☆16Oct 14, 2020Updated 5 years ago
- ☆19Mar 28, 2019Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- Martingale posterior neural networks for fast sequential decision making @ Neurips 2025☆23Nov 13, 2025Updated 4 months ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 5 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆81Jul 23, 2019Updated 6 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆81Apr 28, 2019Updated 6 years ago
- Attempts to learn reinforcement learning on the stock market☆23Jan 14, 2019Updated 7 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Sep 25, 2020Updated 5 years ago
- MIT racecar_simulator ported to python and speeded up using GPU ray marching☆20May 25, 2020Updated 5 years ago
- PyTorch implementation of the paper Overcoming Exploration in Reinforcement Learning with Demonstrations in surgical robot manipulation t…☆12Aug 21, 2022Updated 3 years ago
- ☆10Nov 23, 2018Updated 7 years ago
- A mini racetrack world for developing and testing robots with AWS RoboMaker and Gazebo simulations.☆15Sep 8, 2020Updated 5 years ago
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆375Nov 22, 2022Updated 3 years ago
- Estimation of the confidence measure for anomaly detectors, as explained in the paper "Quantifying the Confidence of Anomaly Detectors in…☆12Nov 17, 2021Updated 4 years ago
- Stabilizable Nonlinear Dynamics Learning☆23Oct 10, 2019Updated 6 years ago
- Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24☆26Aug 28, 2024Updated last year
- Implementation of Stein Variational Gradient Descent with TensorFlow 2.0☆12Sep 11, 2019Updated 6 years ago
- An implementation of Maximum Entropy model☆14Apr 28, 2012Updated 13 years ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆32Sep 7, 2021Updated 4 years ago