Alternatives and similar repositories for B_Pref

Users that are interested in B_Pref are comparing it to the libraries listed below

• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆123Updated 3 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• rraileanu / idaac
  ☆53Updated last year
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 2 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆112Updated 2 years ago
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆114Updated 3 years ago
• awarelab / continual_world
  ☆96Updated last year
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆45Updated 3 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆54Updated 3 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• mengf1 / CHER
  Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)
  ☆64Updated 5 years ago
• joonleesky / train-procgen-pytorch
  Pytorch implementation on OpenAI's Procgen ppo-baseline, built from scratch.
  ☆30Updated 4 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• sparisi / cbet
  Change-Based Exploration Transfer
  ☆35Updated 3 years ago
• danielshin1 / oprl
  Official Codebase for TMLR 2023, Benchmarks and Algorithms for Offline Preference-Based Reward Learning
  ☆20Updated 2 years ago
• davidbrandfonbrener / onestep-rl
  ☆41Updated 3 years ago
• dibyaghosh / gcsl
  Code for "Learning to Reach Goals via Iterated Supervised Learning"
  ☆78Updated 3 years ago
• rmrafailov / LOMPO
  Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models
  ☆30Updated 4 years ago
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆50Updated 4 years ago
• DesikRengarajan / LOGO
  [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
  ☆27Updated 3 years ago
• qxcv / magical
  The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
  ☆77Updated last year
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆68Updated last year
• Lifelong-ML / CompoSuite
  Official release of CompoSuite, a compositional RL benchmark
  ☆49Updated last year
• YangRui2015 / AWGCSL
  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
  ☆26Updated 3 years ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆103Updated last year
• Stilwell-Git / Randomized-Return-Decomposition
  TensorFlow implementation for our paper "Learning Long-Term Reward Redistribution via Randomized Return Decomposition"
  ☆19Updated 3 years ago
• jhejna / few-shot-preference-rl
  ☆35Updated 2 years ago
• psclklnk / spdl
  Source code for the Self-Paced Deep Reinforcement Learning Experiments
  ☆32Updated 2 years ago