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)
  ☆69Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆84Updated 6 months ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆49Updated 3 months ago
• conglu1997 / v-d4rl
  Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
  ☆101Updated last year
• SonyResearch / simba
  ☆92Updated 3 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• jrobine / twm
  Transformer-based World Models
  ☆82Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆95Updated 10 months ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated last year
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆124Updated last week
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆46Updated last month
• changchencc / TransDreamer
  Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS
  ☆24Updated last year
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆174Updated 2 months ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆81Updated 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 …
  ☆39Updated last year
• denisyarats / exorl
  ExORL: Exploratory Data for Offline Reinforcement Learning
  ☆115Updated 3 years ago
• OffDynamicsRL / off-dynamics-rl
  ☆47Updated 6 months ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆26Updated 2 years ago
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆67Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• younggyoseo / apv
  ☆70Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆74Updated last year
• ahmed-touati / controllable_agent
  ☆45Updated last year
• jurgisp / memory-maze
  Evaluating long-term memory of reinforcement learning algorithms
  ☆141Updated last year
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆92Updated last year
• fdeng18 / dreamer-pro
  ☆36Updated 2 years ago
• steventango / jumpstart-rl
  Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
  ☆31Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 11 months ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆107Updated 2 years ago