Alternatives and similar repositories for componet:

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

• NJU-RL / Meta-DT
  ☆23Updated 5 months ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆107Updated 2 years ago
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• dmksjfl / MCQ
  Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)
  ☆55Updated 11 months ago
• awarelab / continual_world
  ☆90Updated last year
• tinnerhrhe / MTDiff
  ☆61Updated 4 months ago
• ldcq / ldcq
  ☆30Updated last year
• ryanxhr / POR
  [NeurIPS 2022 Oral] The official implementation of POR in "A Policy-Guided Imitation Approach for Offline Reinforcement Learning"
  ☆58Updated last year
• stevenyangyj / CoTASP
  Official code for the paper: Continual Task Allocation in Meta-Policy Network via Sparse Prompting
  ☆16Updated last month
• jhejna / inverse-preference-learning
  ☆39Updated last year
• shlee94 / Off2OnRL
  ☆55Updated 2 years ago
• jon--lee / decision-pretrained-transformer
  Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…
  ☆60Updated 10 months ago
• ling-pan / OMAR
  ☆43Updated 2 years ago
• LanqingLi1993 / FOCAL-ICLR
  Code for FOCAL Paper Published at ICLR 2021
  ☆51Updated last year
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆33Updated last year
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆51Updated last year
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆120Updated 3 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• Baichenjia / PBRL
  Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  ☆28Updated 3 years ago
• huxiao09 / QPA
  ☆11Updated 6 months ago
• LAMDA-RL / PRDC
  Author's PyTorch implementation of ICML'23 paper "Policy Regularization with Dataset Constraint for Offline Reinforcement Learning" for D…
  ☆18Updated 4 months ago
• yihaosun1124 / pytorch-mopo
  re-implementation of the offline model-based RL algorithm MOPO in pytorch
  ☆24Updated 3 years ago
• d5rlbenchmark / d5rl
  ☆25Updated last year
• kristery / Elastic-DT
  [NeurIPS 2023] Implementation of Elastic Decision Transformer
  ☆35Updated last year
• ltlhuuu / A2PR
  [ICML 2024] The offical implementation of A2PR, a simple way to achieve SOTA in offline reinforcement learning with an adaptive advantage…
  ☆24Updated 10 months ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆43Updated 11 months ago
• conglu1997 / SynthER
  Synthetic Experience Replay
  ☆89Updated 10 months ago
• timoklein / redo
  ReDo: The Dormant Neuron Phenomenon in Deep Reinforcement Learning (pytorch)
  ☆25Updated 5 months ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆82Updated last year
• AGI-Labs / continual_rl
  Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…
  ☆116Updated last year