Alternatives and similar repositories for decision-stacks:

Users that are interested in decision-stacks are comparing it to the libraries listed below

• hychen-naza / LEAP
  ☆15Updated last year
• yuqingd / cusp
  ☆15Updated 2 years ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆53Updated last year
• vivekmyers / contrastive_planning
  Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"
  ☆41Updated 8 months ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated 7 months ago
• yidingjiang / love
  Code for the paper "Learning Options via Compression" at NeurIPS 2022
  ☆23Updated 2 years ago
• seohongpark / PMA
  Predictable MDP Abstraction for Unsupervised Model-Based RL (ICML 2023)
  ☆32Updated 2 years ago
• csmile-1006 / ARP
  Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
  ☆33Updated last year
• camall3n / markov-state-abstractions
  Image-based gridworld experiment for learning Markov state abstractions
  ☆19Updated 6 months ago
• LunjunZhang / world-model-as-a-graph
  Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)
  ☆66Updated 3 years ago
• ucl-dark / skillhack
  SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning
  ☆14Updated 2 years ago
• Div99 / LISA
  (NeurIPS '22) LISA: Learning Interpretable Skill Abstractions - A framework for unsupervised skill learning using Imitation
  ☆26Updated 2 years ago
• dibyaghosh / icvf_release
  Public code for "Reinforcement Learning from Passive Data via Latent Intentions"
  ☆88Updated last year
• chongyi-zheng / td_infonce
  ☆27Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆41Updated 4 months ago
• micahcarroll / uniMASK
  Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
  ☆55Updated 8 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
• FangchenLiu / MaskDP_public
  Code for "Masked Autoencoding for Scalable and Generalizable Decision Making". NeurIPS 2022
  ☆43Updated last year
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆27Updated 8 months ago
• frt03 / mxt_bench
  A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation (ICLR2023)
  ☆13Updated 2 years ago
• thu-ml / CEP-energy-guided-diffusion
  Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction
  ☆27Updated last year
• rll-research / finetune-vs-metarl
  ☆14Updated 2 years ago
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆25Updated last year
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆32Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆39Updated 3 years ago
• JasonMa2016 / SMODICE
  Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…
  ☆25Updated 2 years ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆55Updated 5 months ago
• jianlanluo / SAQ
  ☆30Updated last year
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆68Updated last year
• junsu-kim97 / PIG
  PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023).
  ☆19Updated 2 years ago