Alternatives and similar repositories for Meta-DT

Users that are interested in Meta-DT are comparing it to the libraries listed below

• tinnerhrhe / MTDiff
  ☆62Updated 10 months ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆89Updated last year
• NJU-RL / CuGRO
  Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
  ☆32Updated last year
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆34Updated 9 months ago
• sail-sg / edp
  [NeurIPS 2023] Efficient Diffusion Policy
  ☆110Updated last year
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆59Updated last year
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆60Updated 2 years ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆103Updated last year
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆115Updated 3 years ago
• Jaewoopudding / GTA
  Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.
  ☆26Updated 10 months ago
• ldcq / ldcq
  ☆36Updated 2 years ago
• BellmanTimeHut / DIPO
  ☆114Updated 2 years ago
• Zzl35 / flow-to-better
  ☆23Updated last year
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆149Updated 2 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆38Updated last year
• csmile-1006 / PreferenceTransformer
  Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
  ☆164Updated last year
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆53Updated last year
• kristery / Elastic-DT
  [NeurIPS 2023] Implementation of Elastic Decision Transformer
  ☆35Updated last year
• mantle2048 / rlplot
  rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").
  ☆33Updated last year
• AhmedMagdyHendawy / MOORE
  Official code of the paper "Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts" at ICLR2024
  ☆30Updated 10 months ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆36Updated 3 years ago
• KaiYan289 / RL_as_Vitamin_for_Online_Decision_Transformers
  ☆14Updated 10 months ago
• OffDynamicsRL / off-dynamics-rl
  ☆53Updated 2 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆60Updated last year
• elicassion / StARformer
  [ECCV2022] [T-PAMI] StARformer: Transformer with State-Action-Reward Representations.
  ☆94Updated 2 years ago
• nakamotoo / Cal-QL
  official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning (NeurIPS 2023)
  ☆108Updated last year
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆57Updated 2 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆44Updated 11 months ago
• TToTMooN / paco-mtrl
  ☆28Updated 2 years ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆18Updated 10 months ago