Alternatives and similar repositories for mtm

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

• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆77Updated last year
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆110Updated 2 years ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆89Updated 2 years ago
• escontra / viper_rl
  Using advances in generative modeling to learn reward functions from unlabeled videos.
  ☆136Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆47Updated last year
• UT-Austin-RPL / amago
  off-policy RL on long sequences
  ☆154Updated 4 months ago
• jrobine / twm
  Transformer-based World Models
  ☆86Updated 2 years ago
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆103Updated 2 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆81Updated 2 years ago
• schmidtdominik / LAPO
  Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)
  ☆130Updated last year
• penn-pal-lab / peg
  Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
  ☆80Updated last year
• younggyoseo / MWM
  Masked World Models for Visual Control
  ☆130Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆129Updated 5 months ago
• philippe-eecs / IDQL
  Repo for Implicit Diffusion Q-Learning
  ☆119Updated 2 years ago
• facebookresearch / denoised_mdp
  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
  ☆136Updated 2 years ago
• AlignmentResearch / vlmrm
  ☆66Updated last year
• mazpie / genrl
  [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…
  ☆85Updated 8 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆61Updated last year
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆72Updated last year
• scottemmons / rvs
  Reinforcement Learning via Supervised Learning
  ☆72Updated 3 years ago
• Div-Infinity / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆107Updated last year
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆92Updated last year
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆50Updated 7 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…
  ☆70Updated 2 years ago
• ahmed-touati / controllable_agent
  ☆52Updated 2 years ago
• jianlanluo / SAQ
  ☆35Updated 6 months ago