Alternatives and similar repositories for TWISTER

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

• weipu-zhang / STORM
  ☆96Updated last year
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆109Updated 2 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆93Updated last year
• jrobine / twm
  Transformer-based World Models
  ☆85Updated 2 years ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆112Updated last year
• thuml / HarmonyDream
  Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344
  ☆43Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆107Updated last year
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆64Updated 3 months ago
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆135Updated 2 weeks ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 10 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆73Updated last year
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• SonyResearch / simba
  ☆104Updated 6 months ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆68Updated last year
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆231Updated 2 months ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆120Updated 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
• 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
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 3 months ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆88Updated 9 months ago
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆158Updated 2 years ago
• steventango / jumpstart-rl
  Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3
  ☆34Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆92Updated 4 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆100Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆58Updated last year
• adityab / CrossQ
  Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"
  ☆79Updated last year
• seohongpark / fql
  The official implementation of flow Q-learning (FQL)
  ☆214Updated last month
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆71Updated last year
• dibyaghosh / jaxrl_m
  Skeleton for scalable and flexible Jax RL implementations
  ☆86Updated 2 years ago
• seohongpark / horizon-reduction
  The official implementation of "Horizon Reduction Makes RL Scalable"
  ☆134Updated last month