[NeurIPS 2021] World modelling and action learning using a contrastive formulation of the active inference framework, for reaching visual goal states
☆15Jan 22, 2024Updated 2 years ago
Alternatives and similar repositories for contrastive-aif
Users that are interested in contrastive-aif are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆32Dec 20, 2019Updated 6 years ago
- ☆26Jan 13, 2021Updated 5 years ago
- Reinforcement Learning through Active Inference☆86Apr 27, 2020Updated 6 years ago
- Implementation/simulation of active neural generative coding (ANGC) for training neurobiologically-plausible active inference agent model…☆26Feb 19, 2024Updated 2 years ago
- Implementation of an active inference capsule☆16Jun 2, 2021Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"☆66Aug 5, 2026Updated 2 months ago
- dynamic planning, hybrid models, hierarchical active inference, tool use☆15Jun 13, 2025Updated last year
- A repository for major/influential FEP and active inference papers.☆245Jun 28, 2021Updated 5 years ago
- Experiments of the "Multi-Agent Trajectory Planning with NUV Priors" paper☆12Oct 14, 2024Updated 2 years ago
- This is the repo of NeurIPS 2022 paper: "Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning"☆16Sep 21, 2023Updated 3 years ago
- Read and Listen to NeurIPS 2024 Papers☆17Feb 20, 2025Updated last year
- On efficient computation in active inference☆17May 31, 2024Updated 2 years ago
- This is the official code for our paper entitled "Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning".☆10Jul 26, 2026Updated 2 months ago
- Hierarchical Hidden Markov Model☆12Dec 11, 2022Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- CPU-oriented Python library for discrete Active Inference experiments in radCAD and cadCAD: deterministic grid worlds, multi-agent transi…☆32Aug 9, 2026Updated 2 months ago
- Evaluating video predictions from the standpoint of a robot making action decisions☆13May 28, 2020Updated 6 years ago
- Code of the paper "Universal Morphology Control via Contextual Modulation" at ICML 2023☆17Aug 3, 2023Updated 3 years ago
- Code for the paper "Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Ga…☆11Dec 1, 2022Updated 3 years ago
- Code for the simulations in the neural Kalman filtering paper☆25Jul 13, 2021Updated 5 years ago
- repo for code for paper on general theory associative memory models☆23Jun 15, 2022Updated 4 years ago
- ☆11Apr 23, 2024Updated 2 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Apr 5, 2022Updated 4 years ago
- #UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning☆14May 23, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Molecule Design by Latent Space Energy-based Modeling and Gradual Distribution Shifting" in UAI 2023☆15Nov 15, 2023Updated 2 years ago
- Implementation of "Active Exploration for Inverse Reinforcement Learning (AceIRL), NeurIPS 2022.☆14Oct 12, 2022Updated 4 years ago
- multi-agent crafter for cooperative tasks☆15Aug 2, 2025Updated last year
- "Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used …☆11Feb 3, 2025Updated last year
- Implementation of Neurips 2023 Paper "Multi Time Scale World Models"☆22Nov 8, 2024Updated last year
- Reactive environments for self-learning agents☆24Nov 4, 2025Updated 11 months ago
- ☆17Jul 23, 2023Updated 3 years ago
- PyHGF: A neural network library for predictive coding☆165Oct 1, 2026Updated last week
- A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)☆19Jul 28, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Logically-Constrained Reinforcement Learning☆57Jul 5, 2024Updated 2 years ago
- DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning☆24Apr 17, 2021Updated 5 years ago
- Generative Uncertainty in Diffusion Models☆16Jun 23, 2025Updated last year
- Unlock the potential of latent diffusion models with MNIST! 🚀 Dive into reconstructing and generating digits using cutting-edge techniqu…☆16Jan 6, 2025Updated last year
- ☆22Oct 6, 2025Updated last year
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆29Feb 8, 2020Updated 6 years ago
- AutoVRL is an open-source high fidelity simulator for simulation to real-world autonomous ground vehicle deep reinforcement learning rese…☆12Apr 26, 2023Updated 3 years ago