zfountas / deep-active-inference-mcLinks
Deep active inference agents using Monte-Carlo methods
☆89Updated last month
Alternatives and similar repositories for deep-active-inference-mc
Users that are interested in deep-active-inference-mc are comparing it to the libraries listed below
Sorting:
- Reinforcement Learning through Active Inference☆75Updated 5 years ago
- Code for the paper Deep Active Inference as Variational Policy Gradients.☆24Updated 5 years ago
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- A repository for major/influential FEP and active inference papers.☆198Updated 4 years ago
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686☆139Updated 3 years ago
- ☆26Updated 4 years ago
- [NeurIPS 2021] Contrastive learning formulation of the active inference framework, for matching visual goal states.☆13Updated last year
- Code and data for People construct simplified mental representations to plan☆23Updated last year
- A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.☆17Updated 2 years ago
- Official implementation of the δ-model presented in the ICML 2024 paper "A Distributional Analogue to the Successor Representation".☆21Updated 8 months ago
- Predictive coding in Python☆66Updated last year
- Free Energy Principle and Active Inference tutorials for newbies☆49Updated 4 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 4 years ago
- ☆41Updated 2 years ago
- Deep Successor Representation☆17Updated 7 years ago
- Animal-AI 3☆65Updated 2 years ago
- NiceWebRL is a Python library for quickly making human subject experiments that leverage machine reinforcement learning environments.☆48Updated this week
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆87Updated 4 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- A library for neuroscience-inspired navigation and decision making research.☆205Updated 5 months ago
- PAIRED in PyTorch 🔥☆62Updated 2 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆57Updated 2 years ago
- Minimizing Control for Credit Assignment with Strong Feedback☆14Updated 8 months ago
- Models of Sequential Decision-Making☆49Updated 6 months ago
- Episodic Control☆21Updated 2 years ago
- Implementation of an active inference capsule☆16Updated 4 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 4 years ago
- Partially Observable Process Gym☆193Updated last month