doerlbh / mentalRLLinks
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
☆28Updated 2 years ago
Alternatives and similar repositories for mentalRL
Users that are interested in mentalRL are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 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
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 4 years ago
- ☆12Updated 3 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 10 months ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 4 years ago
- Deep Successor Representation☆17Updated 7 years ago
- Models of Sequential Decision-Making☆51Updated 7 months ago
- Source code of "Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning" (AAMAS 2021).☆28Updated 3 years ago
- Active inference implementation of dynamic multi-armed bandits☆19Updated last month
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆22Updated last month
- ☆32Updated 7 years ago
- Repository of continual learning papers☆40Updated 3 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- ☆34Updated 8 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018☆33Updated 5 years ago
- ☆21Updated 6 years ago
- ☆16Updated 3 years ago
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- Python implementation of the PR-SSM.☆51Updated 7 years ago
- Code for NeurIPS 2021 paper: "Invariant Causal Imitation Learning for Generalizable Policies" by I. Bica, D. Jarrett, M. van der Schaar☆28Updated 3 years ago