Alternatives and similar repositories for iqrl

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

• sukhijab / maxinforl_jax
  ☆27Updated 2 months ago
• cvoelcker / reppo
  Official Code for "Relative Entropy Pathwise Policy Optimization"
  ☆40Updated last week
• google-deepmind / dmc_vision_benchmark
  ☆30Updated last year
• sukhijab / maxinforl_torch
  ☆47Updated 3 months ago
• tseyde / decqn
  ☆35Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆104Updated 2 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆80Updated last year
• ShaneFlandermeyer / tdmpc2-jax
  Jax/Flax Implementation of TD-MPC2
  ☆68Updated last week
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆72Updated last year
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆82Updated last month
• zhaoyi11 / tcrl
  ☆24Updated last year
• Farama-Foundation / minari-dataset-generation-scripts
  Scripts to recreate the D4RL datasets with Minari
  ☆25Updated 5 months ago
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆21Updated 11 months ago
• aalmuzairee / dmcgb2
  Official release of the DMControl Generalization Benchmark 2 (DMC-GB2)
  ☆22Updated 5 months ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆111Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆25Updated last year
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆15Updated 2 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆81Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• kvfrans / rlbase_stable
  ☆43Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆50Updated 7 months ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆61Updated 4 months ago
• 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
• SonyResearch / simba
  ☆114Updated 10 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆82Updated 2 years ago
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆56Updated 2 years ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆34Updated last year
• ikostrikov / jaxrl2
  ☆52Updated 2 years ago
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆92Updated 2 years ago