Alternatives and similar repositories for QDAC

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

• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆74Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆34Updated 11 months ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆18Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆97Updated last week
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• ComputationalRobotics / TRAC
  This repository is the official implementation of the TRAC optimizer in Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement …
  ☆30Updated 5 months ago
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 3 years ago
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆27Updated last year
• max7born / decision-lstm
  Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…
  ☆27Updated 2 years ago
• ucl-dark / pax
  Scalable Opponent Shaping Experiments in JAX
  ☆24Updated last year
• wang-kevin3290 / scaling-crl
  ☆53Updated 6 months ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆40Updated 5 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• PKU-RL / PTGM
  [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
  ☆28Updated last year
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆68Updated 4 months ago
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆23Updated 4 months ago
• qgallouedec / lge
  ☆31Updated last year
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆68Updated last year
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆28Updated 2 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• sukhijab / maxinforl_torch
  ☆45Updated 2 weeks ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago