doerlbh / mentalRLLinks
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
☆28Updated last year
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
- A large database of artificial neural network statistics during training☆15Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated 8 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆34Updated 5 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago
- Code for Continual Reinforcement Learning with Multi-Timescale Replay☆23Updated 5 years ago
- State Space Models for Reinforcement Learning in Tensorflow☆19Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆101Updated 4 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Code for Dataset and Benchmarks Submission, Neurips 2022☆13Updated 2 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
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆33Updated 6 years ago
- Deep Successor Representation☆17Updated 7 years ago
- ☆24Updated 4 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆17Updated last week
- ☆17Updated 3 years ago
- Generalised UDRL☆37Updated 3 years ago
- A Continual Multi-agent RL testbed based on Hanabi☆30Updated 3 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆43Updated 4 years ago
- Code for "Generative causal explanations of black-box classifiers"☆34Updated 4 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆38Updated 4 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 5 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies☆15Updated 6 years ago