Alternatives and similar repositories for COPlanner

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

• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆19Updated 2 years ago
• heatz123 / tldr
  Official code for TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
  ☆36Updated 2 weeks ago
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆89Updated 3 months ago
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆71Updated 6 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆105Updated 4 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆82Updated last year
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆73Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆26Updated 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
• sukhijab / maxinforl_torch
  ☆50Updated 4 months ago
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆44Updated 9 months ago
• zhaoyi11 / tcrl
  ☆24Updated 2 years ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆84Updated 2 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆92Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• google-deepmind / dmc_vision_benchmark
  ☆31Updated last year
• SafeRL-Lab / BenchNetRL
  🔥Benchmarking of Neural Network Architectures in Reinforcement Learning.
  ☆31Updated 2 weeks ago
• sukhijab / maxinforl_jax
  ☆27Updated last month
• chenran-li / RQL-release
  (NeurIPS 2023) Residual Q-Learning: Offline and Online Policy Customization without Value
  ☆35Updated last year
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆28Updated 8 months ago
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆67Updated 2 years ago
• jianlanluo / SAQ
  ☆35Updated 8 months ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• zchuning / repo
  Resilient Model-Based RL by Regularizing Posterior Predictability
  ☆22Updated last year
• tseyde / decqn
  ☆35Updated 3 years ago
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated last year
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 3 years ago
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆86Updated last year
• leekwoon / rgg
  [NeurIPS 2023] Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
  ☆22Updated 2 years ago