NACLab / self-revising-active-inferenceLinks
Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"
☆64Updated 4 months ago
Alternatives and similar repositories for self-revising-active-inference
Users that are interested in self-revising-active-inference are comparing it to the libraries listed below
Sorting:
- Foundation Policies with Hilbert Representations (ICML 2024)☆104Updated 3 months ago
- ☆116Updated 10 months ago
- Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)☆131Updated last year
- ☆27Updated last year
- ☆121Updated last month
- Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024☆79Updated last year
- ☆51Updated 2 months ago
- Transformer-based World Models☆87Updated 2 years ago
- [ICLR 2025] Learning Transformer-based World Models with Contrastive Predictive Coding (TWISTER)☆45Updated 10 months ago
- [NeurIPS 2024] GenRL: Multimodal-foundation world models enable grounding language and video prompts into embodied domains, by turning th…☆86Updated 9 months ago
- Jax/Flax Implementation of TD-MPC2☆70Updated 2 weeks ago
- PWM: Policy Learning with Large World Models☆65Updated 5 months ago
- ☆31Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆82Updated 2 months ago
- A benchmark for offline goal-conditioned RL and offline RL☆304Updated 2 months ago
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆130Updated 6 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆80Updated 2 years ago
- Skeleton for scalable and flexible Jax RL implementations☆93Updated 2 years ago
- Online Goal-Conditioned Reinforcement Learning in JAX. ICLR 2025 Spotlight.☆217Updated last month
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- The official implementation of "Horizon Reduction Makes RL Scalable"☆179Updated 5 months ago
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆14Updated last year
- ☆205Updated last month
- Code for "Transitive RL: Value Learning via Divide and Conquer"☆45Updated 2 months ago
- Code release for "HarmonyDream: Task Harmonization Inside World Models" (ICML 2024), https://arxiv.org/abs/2310.00344☆49Updated last year
- Using advances in generative modeling to learn reward functions from unlabeled videos.☆136Updated last year
- ☆53Updated 2 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆40Updated last year
- off-policy RL on long sequences☆155Updated 2 weeks ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆112Updated 2 years ago