Alternatives and similar repositories for xland-minigrid-datasets

Users that are interested in xland-minigrid-datasets are comparing it to the libraries listed below

• dunnolab / vintix
  Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025
  ☆44Updated 6 months ago
• tinkoff-ai / ReBRAC
  Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC
  ☆61Updated 2 years ago
• corl-team / ad-eps
  Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"
  ☆33Updated last year
• corl-team / headless-ad
  Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"
  ☆91Updated last year
• enjeeneer / zero-shot-rl
  VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)
  ☆21Updated 10 months ago
• corl-team / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆43Updated 2 years ago
• facebookresearch / MRQ
  MR.Q is a general-purpose model-free reinforcement learning algorithm.
  ☆128Updated 5 months ago
• tinkoff-ai / katakomba
  Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)
  ☆76Updated 2 years ago
• tinkoff-ai / sac-rnd
  Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023
  ☆55Updated 2 years ago
• FLAIROx / cultural-accumulation
  ☆15Updated last year
• amacrutherford / sampling-for-learnability
  Official codebase for "Sampling For Learnability", published at NeurIPS 2024
  ☆20Updated last month
• nmonette / NCC-UED
  Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025
  ☆17Updated 2 weeks ago
• DAVIAN-Robotics / SimbaV2
  Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"
  ☆79Updated last month
• chandar-lab / Recall2Imagine
  Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
  ☆77Updated last year
• rail-berkeley / SUPE
  This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."
  ☆35Updated 4 months ago
• luchris429 / popjaxrl
  Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]
  ☆110Updated 2 years ago
• MarcoMeter / endless-memory-gym
  Challenging Memory-based Deep Reinforcement Learning Agents
  ☆105Updated last year
• keraJLi / synthetic-gymnax
  Drop-in environment replacements that make your RL algorithm train faster.
  ☆21Updated last year
• brownirl / lambda_discrepancy
  Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy
  ☆21Updated last year
• EmptyJackson / unifloral
  Unified Implementations of Offline Reinforcement Learning Algorithms
  ☆171Updated last month
• AlexGoldie / rl-learned-optimization
  Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"
  ☆29Updated 7 months ago
• RyanNavillus / Syllabus
  Synchronized Curriculum Learning for RL Agents
  ☆116Updated last month
• mklissa / dceo
  Learning diverse options through the Laplacian representation.
  ☆23Updated last year
• Reytuag / transformerXL_PPO_JAX
  ☆88Updated last year
• kvfrans / fre
  Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"
  ☆57Updated last year
• dunnolab / xland-minigrid
  JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
  ☆316Updated last week
• vwxyzjn / cleanba
  CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL
  ☆118Updated last year
• FLAIROx / JaxGL
  Simple JAX Graphics Library.
  ☆36Updated last year
• FLAIROx / jafar
  JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"
  ☆97Updated 10 months ago
• ml-jku / L2M
  Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)
  ☆62Updated last year