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
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆70Updated 3 weeks ago
• MaxSobolMark / OOO
  Official repo for Offline RL for Online RL
  ☆17Updated last year
• google-deepmind / dmc_vision_benchmark
  ☆27Updated last year
• keynans / HypeRL
  Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)
  ☆24Updated 4 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆66Updated last year
• omron-sinicx / action-constrained-RL-benchmark
  ☆24Updated last year
• rll-research / finetune-vs-metarl
  ☆14Updated 3 years ago
• architsharma97 / earl_benchmark
  EARL: Environment for Autonomous Reinforcement Learning
  ☆37Updated 2 years ago
• haosulab / RPG
  Code base for paper: Reparameterized Policy Learning for Multimodal Trajectory Optimization
  ☆27Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• JasonMa2016 / GoFAR
  Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)
  ☆36Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆86Updated 8 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• frt03 / jax_dt
  Minimal Decision Transformer Implementation written in Jax (Flax).
  ☆17Updated 3 years ago
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆29Updated last year
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆63Updated last year
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 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
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 11 months ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆27Updated 2 years ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 3 years ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 10 months ago
• sail-sg / offbench
  ☆15Updated 2 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆26Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆40Updated 3 weeks ago
• frt03 / generalized_dt
  Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)
  ☆67Updated 3 years ago
• SAIC-MONTREAL / hyperzero
  Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
  ☆20Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆90Updated last year