Alternatives and similar repositories for HILP

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

• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆72Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆88Updated 8 months ago
• SonyResearch / simba
  ☆103Updated 6 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated last year
• jrobine / twm
  Transformer-based World Models
  ☆85Updated 2 years ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆63Updated 2 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆106Updated last year
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆84Updated 2 years ago
• seohongpark / horizon-reduction
  The official implementation of "Horizon Reduction Makes RL Scalable"
  ☆134Updated 3 weeks ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 3 months ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated last month
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆68Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆135Updated last week
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆111Updated last year
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆227Updated last month
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• google-deepmind / dmc_vision_benchmark
  ☆27Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆99Updated last year
• kngwyu / mujoco-maze
  Simple maze environments using mujoco-py
  ☆57Updated last year
• mazpie / mastering-urlb
  [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …
  ☆40Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆86Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆107Updated last year
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆55Updated 3 weeks ago
• OffDynamicsRL / off-dynamics-rl
  ☆49Updated last month
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆108Updated 2 months ago