HumanCompatibleAI / learning-from-human-preferencesLinks
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
☆31Updated 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
Sorting:
- A Library for Active Preference-based Reward Learning Algorithms☆53Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆75Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆43Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 5 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆68Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 4 years ago
- ☆58Updated 11 months ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- [ICML 2023] Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills☆12Updated 2 years ago
- Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)☆23Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 3 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 3 years ago
- Source code to reproduce experiments from Mendez et al., ICLR '22☆22Updated 3 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated last year
- ☆51Updated 3 years ago
- behavior cloning from observation☆36Updated 5 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆119Updated 3 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆68Updated 5 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data…☆40Updated last year
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆83Updated 2 years ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆92Updated last year
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆61Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆103Updated 3 years ago
- ☆31Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆110Updated 2 years ago
- My Body Is A Cage☆41Updated 4 years ago