ucbtns / daiLinks
π§ π©Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment
β34Updated 5 years ago
Alternatives and similar repositories for dai
Users that are interested in dai are comparing it to the libraries listed below
Sorting:
- Deep active inference agents using Monte-Carlo methodsβ92Updated 2 months ago
- Reinforcement Learning through Active Inferenceβ76Updated 5 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.β25Updated 5 years ago
- β26Updated 4 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three β¦β35Updated 4 years ago
- A repository for major/influential FEP and active inference papers.β204Updated 4 years ago
- Tutorials on learning and using successor representations.β52Updated 5 years ago
- Deep Successor Representationβ17Updated 7 years ago
- Repository for "Learning action-oriented models through active inference"β12Updated 5 years ago
- [NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.β13Updated last year
- Code for simulations in "Computational mechanisms of curiosity and goal-directed exploration"β10Updated 5 years ago
- Code and data for People construct simplified mental representations to planβ23Updated last year
- Free Energy Principle and Active Inference tutorials for newbiesβ49Updated 4 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.β17Updated 2 years ago
- Active inference implementation of dynamic multi-armed banditsβ19Updated 2 months ago
- Predictive coding in Pythonβ67Updated last year
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcβ¦β58Updated 6 years ago
- Library to compare and evaluate reward functionsβ67Updated last year
- PAIRED in PyTorch π₯β63Updated 2 years ago
- repo for code for paper on general theory associative memory modelsβ20Updated 3 years ago
- β41Updated 3 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686β139Updated 4 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmasβ50Updated 2 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICLβ¦β55Updated 4 years ago
- A library for neuroscience-inspired navigation and decision making research.β205Updated 7 months ago
- Supplementary scripts for Step-by-step active inference modelling tutorialβ121Updated 10 months ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020β44Updated 4 years ago
- Animal-AI 3β65Updated 2 years ago
- Model-based reinforcement learning in TensorFlowβ56Updated 4 years ago
- Few-shot Bayesian Imitation Learning with Policies as Logic over Programsβ19Updated 6 months ago