Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
☆338Nov 29, 2021Updated 4 years ago
Alternatives and similar repositories for learning-from-human-preferences
Users that are interested in learning-from-human-preferences are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆31Jul 27, 2021Updated 5 years ago
- Learning From Human Preferences - Tensorflow+Keras Implementation☆18Aug 17, 2017Updated 9 years ago
- Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback☆565Jan 24, 2023Updated 3 years ago
- A simple moving dot environment for OpenAI Gym to test reinforcement learning algorithms☆23Sep 1, 2022Updated 4 years ago
- (This repository is no longer being maintained.) Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for efficientl…☆28Jan 22, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆167Oct 15, 2023Updated 3 years ago
- Accompanying code for the RSS 2019 paper, "Learning Reward Functions by Integrating Human Demonstrations and Preferences"☆12May 20, 2019Updated 7 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆86Dec 13, 2019Updated 6 years ago
- Implementation of the TAMER algorithm from "Interactively Shaping Agents via Human Reinforcement" (Knox, Stone - 2009)☆21May 6, 2020Updated 6 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆138Nov 3, 2021Updated 5 years ago
- Benchmark environments for reward modelling and imitation learning algorithms.☆47Sep 19, 2023Updated 3 years ago
- ☆57Nov 10, 2022Updated 4 years ago
- Easy TensorFlow logging for quick prototypes☆110Oct 20, 2021Updated 5 years ago
- Accompanying Jupyter notebook for paper "Should Robots be Obedient?"☆10May 30, 2017Updated 9 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 2018 Self-Imitation Learning☆279Apr 18, 2020Updated 6 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
- trying out to implement Deep Tamer☆15Mar 16, 2022Updated 4 years ago
- I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really u…☆52Feb 16, 2020Updated 6 years ago
- Inferring beliefs about dynamics from behavior☆30May 24, 2018Updated 8 years ago
- Machine Learning Course Project Skoltech 2018☆110Feb 11, 2019Updated 7 years ago
- Publicly releasable baselines for the Retro contest☆130Nov 22, 2018Updated 7 years ago
- ☆87Apr 10, 2021Updated 5 years ago
- [ICLR 2024] Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models☆13Apr 2, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Multi Agent Reinforcement Learning using MalmÖ☆267Apr 14, 2020Updated 6 years ago
- Simple tools for statistical analyses in RL experiments☆67Sep 25, 2026Updated last month
- Implementation of the paper "Overcoming Exploration in Reinforcement Learning with Demonstrations" Nair et al. over the HER baselines fro…☆154Oct 25, 2021Updated 5 years ago
- Clean PyTorch implementations of imitation and reward learning algorithms☆1,812Jan 7, 2025Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,125Oct 13, 2017Updated 9 years ago
- Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.☆88Jun 24, 2020Updated 6 years ago
- Infer how suboptimal agents are suboptimal while planning, for example if they are hyperbolic time discounters.☆25Sep 26, 2020Updated 6 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,327Sep 4, 2022Updated 4 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆154Sep 22, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [IJCAI'20][ICLR'19 Workshop] Flow-based Intrinsic Curiosity Module. Playing SuperMario with RL agent and FICM!☆104Dec 8, 2022Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,951Jun 17, 2024Updated 2 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆726Nov 22, 2018Updated 7 years ago
- Train an RL agent to localize actively (PyTorch)☆211Apr 9, 2018Updated 8 years ago
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆752Jun 12, 2023Updated 3 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,287Feb 9, 2021Updated 5 years ago
- Code for reproducing the results from the paper Avoiding Side Effects in Complex Environments☆12Jun 3, 2021Updated 5 years ago
Are these results useful?