Alternatives and similar repositories for SEABO

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

• OffDynamicsRL / off-dynamics-rl
  ☆56Updated 3 weeks ago
• d5rlbenchmark / d5rl
  ☆29Updated 2 years ago
• ethanluoyc / optimal_transport_reward
  ☆17Updated last year
• Guozheng-Ma / DA-in-visualRL
  Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).
  ☆79Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆91Updated 11 months ago
• pcchenxi / LAPO-offlienRL
  ☆15Updated 2 months ago
• thu-ml / SRPO
  Codes accompanying the paper "Score Regularized Policy Optimization through Diffusion Behavior" (ICLR 2024).
  ☆48Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆28Updated 2 years ago
• tinnerhrhe / MTDiff
  ☆63Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• PKU-RL / PTGM
  [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
  ☆28Updated last year
• ldcq / ldcq
  ☆37Updated 2 years ago
• YangRui2015 / AWGCSL
  Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.
  ☆27Updated 3 years ago
• Improbable-AI / harness-offline-rl
  Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting
  ☆17Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆112Updated last year
• ryanxhr / IVR
  [ICLR 2023 Oral] The official implementation of SQL and EQL in "Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Reg…
  ☆47Updated 2 years ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆60Updated 3 months ago
• Improbable-AI / dw-offline-rl
  Official implementation of NeurIPS'23 paper, Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets
  ☆27Updated last year
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆113Updated 2 years ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆53Updated last year
• Zzl35 / flow-to-better
  ☆25Updated last year
• thuml / HarmonyDream
  Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
  ☆48Updated last year
• quantumiracle / Consistency_Model_For_Reinforcement_Learning
  Official implementation for: Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning ICLR'24
  ☆26Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆114Updated last year
• ryanxhr / DWBC
  [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"
  ☆35Updated 2 years ago
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated last year
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆33Updated last year
• zhaoyi11 / tcrl
  ☆24Updated last year
• hychen-naza / LEAP
  ☆17Updated 2 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆70Updated last year