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

• Stanford-ILIAD / APReL
  A Library for Active Preference-based Reward Learning Algorithms
  ☆50Updated last year
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆37Updated 2 years ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 9 months ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• jhejna / few-shot-preference-rl
  ☆34Updated last year
• knowledgetechnologyuhh / goal_conditioned_RL_baselines
  ☆25Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆40Updated 2 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆67Updated last year
• intelligent-control-lab / guard
  ☆48Updated 3 months ago
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• abalakrishna123 / recovery-rl
  Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.
  ☆56Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆37Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆79Updated 4 months ago
• JasonMa2016 / CODAC
  Official repository for paper "Conservative Offline Distributional Reinforcement Learning" (NeurIPS 2021)
  ☆21Updated 3 years ago
• LAMDA-RL / OfflineRL-Lib
  Benchmarked implementations of Offline RL Algorithms.
  ☆73Updated last month
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 5 months ago
• yardenas / la-mbda
  LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization
  ☆33Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆112Updated 3 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 3 years ago
• nolanwagener / safe_rl
  Implementations of SAILR, PDO, and CSC
  ☆32Updated 9 months ago
• pokaxpoka / B_Pref
  ☆47Updated 2 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• Improbable-AI / eipo
  Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization
  ☆80Updated 2 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 4 years ago
• google-deepmind / active_ops
  ☆32Updated 8 months ago
• twni2016 / f-IRL
  Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020
  ☆45Updated last year
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆45Updated 3 years ago
• marc-rigter / rambo
  Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022
  ☆27Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆56Updated 6 months ago