Alternatives and similar repositories for no-representation-no-trust

Users that are interested in no-representation-no-trust are comparing it to the libraries listed below

• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆80Updated 2 months ago
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆51Updated 3 weeks ago
• vivekmyers / contrastive_planning
  Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"
  ☆42Updated 11 months ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated last year
• DramaCow / jaxued
  ☆82Updated 3 months ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated last month
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆103Updated last year
• ahmed-touati / controllable_agent
  ☆46Updated 2 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆88Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 7 months ago
• ikostrikov / jaxrl2
  ☆47Updated 2 years ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 10 months ago
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆69Updated last year
• SonyResearch / simba
  ☆93Updated 4 months ago
• danijar / ninjax
  General Modules for JAX
  ☆65Updated 2 months ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆70Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆58Updated 8 months ago
• google-deepmind / dmc_vision_benchmark
  ☆25Updated last year
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆147Updated 6 months ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• marc-rigter / polygrad-world-models
  Official code for "World Models via Policy-Guided Trajectory Diffusion", TMLR 2024
  ☆65Updated last year
• danijar / elements
  Building blocks for productive research
  ☆59Updated 5 months ago
• RajGhugare19 / stitching-is-combinatorial-generalisation
  [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  ☆23Updated last year
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆27Updated 11 months ago
• MichalBortkiewicz / JaxGCRL
  Goal-Conditioned Reinforcement Learning with JAX
  ☆171Updated last month
• young-geng / JaxCQL
  Conservative Q learning in Jax
  ☆54Updated 2 years ago
• seohongpark / HIQL
  HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)
  ☆85Updated 6 months ago
• micahcarroll / uniMASK
  Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"
  ☆55Updated 11 months ago