Alternatives and similar repositories for OASIS

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

• HenryLHH / fusion
  This is the source code of FUSION, a safety-aware causal representation for generalizable driving agents.
  ☆21Updated 10 months ago
• liuzuxin / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆13Updated 2 years ago
• zhxieml / PDT
  Implementation of ICML 2023 paper: Future-conditioned Unsupervised Pretraining for Decision Transformer
  ☆28Updated 2 years ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆53Updated last year
• pickxiguapi / Clean-Offline-RLHF
  Offline RLHF codebase implementation for "Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human …
  ☆41Updated last year
• GilgameshD / GRADER
  This is the official implementation of NeurIPS 2022 paper "Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal R…
  ☆34Updated 2 years ago
• martius-lab / cid-in-rl
  Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…
  ☆45Updated 3 years ago
• hychen-naza / LEAP
  ☆17Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 11 months ago
• Jaewoopudding / GTA
  Official codebase for GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning.
  ☆24Updated 10 months ago
• fuyw / FuRL
  ☆21Updated last year
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• PKU-RL / PTGM
  [ICLR 2024 oral] Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
  ☆28Updated last year
• LAMDA-RL / ACT
  Official code for ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning (AAAI'24)
  ☆13Updated last year
• YaoMarkMu / Awesome-Pretrained-RL
  ☆89Updated 3 years ago
• mxu34 / prompt-dt
  Official code repository for Prompt-DT.
  ☆115Updated 3 years ago
• kristery / Elastic-DT
  [NeurIPS 2023] Implementation of Elastic Decision Transformer
  ☆35Updated last year
• NJU-RL / CuGRO
  Official codebase for CuGRO: Continual Offline Reinforcement Learning via Diffusion-based Dual Generative Replay
  ☆32Updated last year
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated last year
• sail-sg / rosmo
  Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
  ☆29Updated 2 years ago
• NJU-RL / Meta-DT
  [NeurIPS 2024] Official Implementation of Meta-DT
  ☆45Updated 11 months ago
• leekwoon / rgg
  [NeurIPS 2023] Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
  ☆21Updated last year
• snu-mllab / DPPO
  Official implementation of "Direct Preference-based Policy Optimization without Reward Modeling" (NeurIPS 2023)
  ☆42Updated last year
• avillaflor / SPLT-transformer
  ☆18Updated 3 years ago
• ldcq / ldcq
  ☆36Updated 2 years ago
• jity16 / ACE-Off-Policy-Actor-Critic-with-Causality-Aware-Entropy-Regularization
  Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"
  ☆31Updated last year
• panmt / Iso-Dream
  ☆32Updated 10 months ago
• Lifelong-ML / Mendez2022ModularLifelongRL
  Source code to reproduce experiments from Mendez et al., ICLR '22
  ☆21Updated 3 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• chongyi-zheng / infom
  Implementations of Intention-conditioned Flow Occupancy Models (InFOM)
  ☆28Updated last week