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

• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆88Updated 3 months ago
• ElisevanderPol / symmetrizer
  ☆31Updated 4 years ago
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• dojeon-ai / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆59Updated 2 months ago
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆114Updated 11 months ago
• Div99 / XQL
  Extreme Q-Learning: Max Entropy RL without Entropy
  ☆87Updated 2 years ago
• DramaCow / jaxued
  ☆82Updated 4 months ago
• danijar / elements
  Building blocks for productive research
  ☆59Updated last week
• seohongpark / HILP
  Foundation Policies with Hilbert Representations (ICML 2024)
  ☆90Updated last year
• vivekmyers / contrastive_planning
  Code for the paper "Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference"
  ☆43Updated last year
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆73Updated 11 months ago
• mttga / purejaxql
  Simple single-file baselines for Q-Learning in pure-GPU setting
  ☆176Updated 4 months ago
• nissymori / JAX-CORL
  Clean single-file implementation of offline RL algorithms in JAX
  ☆150Updated 7 months ago
• quasimetric-learning / quasimetric-rl
  Open source code for paper "Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning" ICML 2023
  ☆46Updated 2 months ago
• danijar / ninjax
  General Modules for JAX
  ☆67Updated 4 months ago
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆70Updated last year
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆107Updated last month
• facebookresearch / how-to-autorl
  Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…
  ☆83Updated last year
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆59Updated 10 months ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆102Updated 9 months ago
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆42Updated 9 months ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆109Updated 2 years ago
• SonyResearch / simba
  ☆103Updated 5 months ago
• facebookresearch / gen_dgrl
  Official codebase for "The Generalization Gap in Offline Reinforcement Learning" accepted to ICLR 2024
  ☆28Updated last year
• ethanluoyc / corax
  Corax: Core RL in JAX
  ☆38Updated last year
• gauthamvasan / avg
  Action Value Gradient Algorithm
  ☆22Updated 2 months ago
• cassidylaidlaw / effective-horizon
  Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
  ☆48Updated last year
• facebookresearch / mtm
  MTM Masked Trajectory Models for Prediction, Representation, and Control.
  ☆157Updated 2 years ago