Alternatives and similar repositories for decision-lstm

Users that are interested in decision-lstm are comparing it to the libraries listed below

• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆78Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆17Updated last year
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated last year
• SAIC-MONTREAL / hyperzero
  Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
  ☆20Updated 2 years ago
• omron-sinicx / action-constrained-RL-benchmark
  ☆24Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 2 years ago
• rll-research / finetune-vs-metarl
  ☆14Updated 3 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆66Updated last year
• google-deepmind / dmc_vision_benchmark
  ☆26Updated last year
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆35Updated last year
• Lifelong-ML / offline-compositional-rl-datasets
  ☆18Updated last year
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆63Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆86Updated 7 months ago
• si0wang / COPlanner
  ☆23Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆24Updated 4 years ago
• mazpie / choreographer
  [ICLR 2023] Choreographer: a model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to effi…
  ☆41Updated last year
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• hari-sikchi / DVL
  A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning
  ☆11Updated last year
• Manchery / iql-pytorch
  Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL
  ☆23Updated 8 months ago
• sdpkjc / abcdrl
  Modular Single-file Reinfocement Learning Algorithms Library
  ☆38Updated 2 years ago
• polixir / causal-mbrl
  Toolkit of Causal Model-based Reinforcement Learning.
  ☆34Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆108Updated 2 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• 51616 / marl-lipo
  Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)
  ☆19Updated last year
• zoharri / mamba
  Meta-RL Model-Based Algorithm
  ☆38Updated 2 months ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago