Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.
☆30May 29, 2019Updated 6 years ago
Alternatives and similar repositories for batch-active-preference-based-learning
Users that are interested in batch-active-preference-based-learning are comparing it to the libraries listed below
Sorting:
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Mar 24, 2024Updated last year
- ☆37Nov 10, 2016Updated 9 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Dec 13, 2019Updated 6 years ago
- ☆11Sep 29, 2021Updated 4 years ago
- Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv pr…☆14Jul 25, 2024Updated last year
- Code & Experiments for "LILA: Language-Informed Latent Actions" to be presented at the Conference on Robot Learning (CoRL) 2021.☆14Nov 4, 2021Updated 4 years ago
- Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).☆13Nov 16, 2021Updated 4 years ago
- A re-implementation of the Pommerman environment in C++☆11Oct 6, 2021Updated 4 years ago
- ROS scene completion workspace and external dependencies.☆16Oct 27, 2017Updated 8 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Oct 8, 2018Updated 7 years ago
- ☆19Feb 11, 2022Updated 4 years ago
- Code for Contrastive Preference Learning (CPL)☆179Nov 22, 2024Updated last year
- Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.☆18Jun 8, 2023Updated 2 years ago
- Reward Learning by Simulating the Past☆46May 9, 2019Updated 6 years ago
- Code to reproduce the results of "Curiosity Driven Exploration of Learned Disentangled Goal Spaces"☆19Oct 26, 2018Updated 7 years ago
- ☆21Dec 17, 2020Updated 5 years ago
- TAX-Pose: Methods for Relative Placement☆24Jul 11, 2024Updated last year
- ☆39Jan 17, 2018Updated 8 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆28Jun 20, 2019Updated 6 years ago
- Companion Codebase for "No, to the Right – Online Language Corrections for Robotic Manipulation via Shared Autonomy"☆28Dec 13, 2022Updated 3 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆333Nov 29, 2021Updated 4 years ago
- Interactive Fleet Learning Benchmark☆37May 18, 2023Updated 2 years ago
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆31Jul 27, 2021Updated 4 years ago
- Visual Grounding of Referring Expressions for Human-Robot Interaction☆26Nov 16, 2018Updated 7 years ago
- Taming MAML: efficient unbiased meta-reinforcement learning☆30Sep 30, 2022Updated 3 years ago
- Python package for Preference Learning with Gaussian Processes.☆34Sep 1, 2025Updated 6 months ago
- TensorFlow implementation of "Playing hard exploration games by watching YouTube"☆39Sep 15, 2019Updated 6 years ago
- Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)☆32Feb 6, 2023Updated 3 years ago
- Google AI Princeton control framework☆39Nov 2, 2020Updated 5 years ago
- Kinematic and dynamic models of continuum and articulated soft robots.☆15Nov 22, 2025Updated 3 months ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆133Nov 3, 2021Updated 4 years ago
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆35Oct 22, 2020Updated 5 years ago
- Distributed Robot Interaction Dataset☆37Oct 21, 2024Updated last year
- ☆10Nov 17, 2022Updated 3 years ago
- This repository contains driving behavior prediction and performance analysis using Deep Artificial Neural Networks and Decision Tree Cla…☆10May 19, 2020Updated 5 years ago
- Advanced trend detection and labelling for time series with Python☆21Oct 21, 2025Updated 4 months ago
- ROS package to allow starting and stopping of rosbag recordings via service calls.☆10Mar 5, 2018Updated 7 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35May 24, 2018Updated 7 years ago
- A python implementation of the COACH algorithm for the Cartpole problem in OpenAI gym.☆11Mar 15, 2019Updated 6 years ago