dunnolab / xland-minigrid-datasetsLinks
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning - - — ICLR 2025
☆78Updated 5 months ago
Alternatives and similar repositories for xland-minigrid-datasets
Users that are interested in xland-minigrid-datasets are comparing it to the libraries listed below
Sorting:
- Vintix: Action Model via In-Context Reinforcement Learning - - — ICML 2025☆42Updated 2 months ago
- Author's implementation of ReBRAC, a minimalist improvement upon TD3+BC☆55Updated 2 years ago
- Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"☆91Updated last year
- Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"☆31Updated 10 months ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆40Updated last year
- VC-FB and MC-FB algorithms from "Zero-Shot Reinforcement Learning from Low Quality Data" (NeurIPS 2024)☆17Updated 6 months ago
- Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)☆74Updated 2 years ago
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆70Updated last year
- ☆13Updated last year
- JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️☆295Updated 2 months ago
- Official implementation for "Anti-Exploration by Random Network Distillation", ICML 2023☆53Updated 2 years ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆106Updated last month
- Drop-in environment replacements that make your RL algorithm train faster.☆21Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆102Updated 9 months ago
- Official codebase for "Sampling For Learnability", published at NeurIPS 2024☆16Updated 2 months ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆109Updated last year
- Simple JAX Graphics Library.☆36Updated 9 months ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆13Updated 3 weeks ago
- ☆81Updated 9 months ago
- Simplest and Cleanest DreamerV3 implementation out there☆80Updated 4 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆18Updated 9 months ago
- JAX reimplementation of the DeepMind paper "Genie: Generative Interactive Environments"☆71Updated 6 months ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆27Updated 3 months ago
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆26Updated 3 weeks ago
- Efficient World Models with Context-Aware Tokenization. ICML 2024☆105Updated 10 months ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …☆15Updated last year
- This code accompanies the paper "Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration."☆31Updated 3 weeks ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Efficient baselines for autocurricula in JAX.☆191Updated 11 months ago