A Library for Active Preference-based Reward Learning Algorithms
☆60Dec 16, 2023Updated 2 years ago
Alternatives and similar repositories for APReL
Users that are interested in APReL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Accompanying code for the RSS 2019 paper, "Learning Reward Functions by Integrating Human Demonstrations and Preferences"☆12May 20, 2019Updated 7 years ago
- Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot L…☆30May 29, 2019Updated 7 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆138Nov 3, 2021Updated 4 years ago
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆30Jan 12, 2023Updated 3 years ago
- ☆10Jun 22, 2020Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆33Mar 10, 2024Updated 2 years ago
- Code of the paper "Interactive Learning of Temporal Feature for Control", published in the IEEE Robotics & Automation Magazine.☆12Dec 27, 2022Updated 3 years ago
- ☆13Sep 24, 2024Updated 2 years ago
- ☆38Apr 27, 2023Updated 3 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆38Mar 24, 2024Updated 2 years ago
- ☆10Mar 1, 2024Updated 2 years ago
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆167Oct 15, 2023Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆37Jan 5, 2023Updated 3 years ago
- Code accompanying the paper "Information Directed Reward Learning for Reinforcement Learning" (NeurIPS 2021).☆13Nov 16, 2021Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A library to benchmark reinforcement learning algorithms☆21Apr 18, 2018Updated 8 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆86Dec 13, 2019Updated 6 years ago
- Change-Based Exploration Transfer☆35Apr 24, 2022Updated 4 years ago
- Official implementation of MURAL (ICML 2021)☆17Sep 23, 2021Updated 5 years ago
- ☆22Nov 16, 2022Updated 3 years ago
- [ICML 2024] Learning Reward for Robot Skills Using Large Language Models via Self-Alignment☆20Aug 22, 2024Updated 2 years ago
- ☆57Nov 10, 2022Updated 3 years ago
- my docker images (ROS, SHSA, ..)☆13Nov 18, 2019Updated 6 years ago
- Simulations work for the Underactuated Lightweight Tensegrity Robotic Assistive Spine. This repository includes code for the kinematics, …☆13Jan 11, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICML 2024] The algorithm of Reinforcement Learning with an Assistant Reward Agent (ReLara)☆19Aug 2, 2024Updated 2 years ago
- Code for paper: Reward Uncertainty for Exploration in Preference-based Reinforcement Learning☆15May 26, 2022Updated 4 years ago
- ☆22Dec 17, 2020Updated 5 years ago
- ☆42Oct 30, 2021Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆22Aug 4, 2022Updated 4 years ago
- ☆87Apr 10, 2021Updated 5 years ago
- Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)☆43Jul 20, 2024Updated 2 years ago
- ☆23Oct 31, 2023Updated 3 years ago
- Learning Shared Safety Constraints from Multi-Task Demonstrations (NeurIPS 2023)☆10Sep 6, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS 2022] Official codebase for "Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learn…☆26Feb 15, 2025Updated last year
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆79Dec 5, 2023Updated 2 years ago
- [CoRL 2020] Learning a natural-language to LTL executable semantic parser for grounded robotics☆16Jul 31, 2022Updated 4 years ago
- ☆17Jun 10, 2024Updated 2 years ago
- ☆27Apr 22, 2024Updated 2 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆24Nov 18, 2022Updated 3 years ago
- ☆30Jul 12, 2023Updated 3 years ago