BerenMillidge / Theory_Associative_Memory
repo for code for paper on general theory associative memory models
☆17Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Theory_Associative_Memory
- Bayesian model reduction for probabilistic machine learning☆10Updated 9 months ago
- ☆34Updated 2 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆24Updated 4 years ago
- ☆16Updated 2 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆35Updated 4 years ago
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆14Updated last year
- Code and data for People construct simplified mental representations to plan☆21Updated last year
- ☆13Updated 2 years ago
- Official data and code for our paper Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning☆48Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆27Updated 3 years ago
- Deep active inference agents using Monte-Carlo methods☆84Updated 3 years ago
- ☆14Updated 3 years ago
- Minimizing Control for Credit Assignment with Strong Feedback☆13Updated last week
- Predictive coding in Python☆63Updated 7 months ago
- Variational Reinforcement Learning☆16Updated 3 months ago
- Implementation of an active inference capsule☆16Updated 3 years ago
- ☆24Updated 3 years ago
- PyTorch implementation of "Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs", NeurIPS 2020☆38Updated 4 years ago
- Generalised UDRL☆37Updated 2 years ago
- Active inference implementation of dynamic multi-armed bandits☆18Updated 10 months ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated last year
- Deep Successor Representation☆18Updated 6 years ago
- Tree-structured recurrent switching linear dynamical systems☆36Updated 4 years ago
- Reinforcement Learning through Active Inference☆67Updated 4 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆79Updated 2 years ago
- Python implementation of the methods in Meulemans et al. 2020 - A Theoretical Framework For Target Propagation☆28Updated last week
- Official Implementation for the paper "R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"☆31Updated 2 weeks ago
- ☆31Updated 7 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆86Updated 11 months ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆31Updated 3 years ago