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)
  ☆62Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆55Updated 10 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated 2 months ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆87Updated 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 …
  ☆37Updated 11 months ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆104Updated last year
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆62Updated 8 months ago
• SonyResearch / simba
  ☆70Updated 4 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆120Updated last week
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆72Updated last year
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆98Updated 8 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated 9 months ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆41Updated 6 months ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆36Updated 2 years ago
• younggyoseo / apv
  ☆69Updated 2 years ago
• jrobine / twm
  Transformer-based World Models
  ☆76Updated last year
• ahmed-touati / controllable_agent
  ☆42Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆23Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 9 months ago
• changchencc / TransDreamer
  Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
  ☆25Updated last year
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆64Updated 8 months ago
• rll-research / cic
  CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
  ☆80Updated 2 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆62Updated 10 months ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆26Updated 4 months ago
• seohongpark / CSD-manipulation
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆31Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆84Updated 2 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆39Updated 2 months ago
• jianlanluo / SAQ
  ☆29Updated last year