Alternatives and similar repositories for iqrl

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

• sukhijab / maxinforl_jax
  ☆25Updated 8 months ago
• cvoelcker / reppo
  Official Code for "Relative Entropy Pathwise Policy Optimization"
  ☆24Updated this week
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆68Updated last year
• google-deepmind / dmc_vision_benchmark
  ☆27Updated last year
• si0wang / COPlanner
  ☆22Updated last year
• tseyde / decqn
  ☆35Updated 2 years ago
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆65Updated 3 months ago
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆11Updated last year
• sukhijab / maxinforl_torch
  ☆45Updated 8 months ago
• ShaneFlandermeyer / tdmpc2-jax
  Jax/Flax Implementation of TD-MPC2
  ☆64Updated 2 weeks ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆94Updated last year
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• kvfrans / cfgrl
  ☆47Updated 3 months ago
• Farama-Foundation / minari-dataset-generation-scripts
  Scripts to recreate the D4RL datasets with Minari
  ☆21Updated last month
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆92Updated 4 months ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆34Updated 10 months ago
• imgeorgiev / PWM
  PWM: Policy Learning with Large World Models
  ☆55Updated last month
• MichaelTMatthews / Jax2D
  Highly scalable 2D JAX physics engine.
  ☆59Updated 5 months ago
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆22Updated 3 months ago
• Michael-Beukman / RobocupGym
  Reinforcement Learning inside a 3D soccer simulation
  ☆29Updated 11 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
• kvfrans / rlbase_stable
  ☆40Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• NACLab / self-revising-active-inference
  Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
  ☆57Updated 3 months ago
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆18Updated 7 months ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• zhaoyi11 / tcrl
  ☆24Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆80Updated last year