Alternatives and similar repositories for mtm:

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

• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆87Updated last year
• Alescontrela / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆122Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆43Updated 11 months ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆76Updated 10 months ago
• younggyoseo / MWM
  Masked World Models for Visual Control
  ☆120Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆104Updated last year
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆62Updated 8 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆54Updated 10 months ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆100Updated last year
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆85Updated 6 months ago
• weipu-zhang / STORM
  ☆72Updated 8 months ago
• seohongpark / ogbench
  A benchmark for offline goal-conditioned RL and offline RL
  ☆121Updated last week
• UT-Austin-RPL / amago
  a simple and scalable agent for training adaptive policies with sequence-based RL
  ☆111Updated this week
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 9 months ago
• facebookresearch / controllable_agent
  The Controllable Agent project trains RL Agents able to optimize any reward function specified in real time, without any further learning…
  ☆61Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆102Updated 2 years ago
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆71Updated 2 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆62Updated 10 months ago
• jrobine / twm
  Transformer-based World Models
  ☆76Updated last year
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
  ☆84Updated 6 months ago
• facebookresearch / denoised_mdp
  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
  ☆136Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆76Updated 2 months ago
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆77Updated 9 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆54Updated 4 months ago
• SonyResearch / simba
  ☆70Updated 4 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆84Updated 2 years ago
• ToruOwO / minimal-stable-PPO
  A minimal and stable PPO.
  ☆129Updated last year
• notmahi / bet
  Code and website for Behavior Transformers: Cloning k modes with one stone.
  ☆117Updated last year
• Howuhh / faster-trajectory-transformer
  Implementation of Trajectory Transformer with attention caching and batched beam search
  ☆109Updated last year