Clean baseline implementation of PPO using an episodic TransformerXL memory

Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018

Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife

A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.

PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!

NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CVPR 2023.

Psifr: Analysis and visualization of free recall data

A machine with human-like memory systems.

Continual Learning methods using Episodic Memory (CLEM) in PyTorch

Code for exploring how we distribute our thoughts over time when we remember, using data from a naturalistic memory experiment.

The OpenAI-Gym-compatible Room environment.

The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024

This project explores the integration of an episodic memory module into PyACTR. The goal is to enhance the agent's performance in language processing tasks that require context and pattern recognition.

Contextual incongruency triggers memory reinstatement and the disruption of neural stability (2023 NeuroImage, Xiongbo Wu)

Post-encoding Reactivation Is Related to Learning of Episodes in Humans (2022 Journal of Cognitive Neuroscience, Xiongbo Wu)

Distinct encoding and post-encoding representational formats contribute to episodic sequence memory formation (2023 Cerebral Cortex, Xiongbo Wu)

Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.

Mementar is a ROS package to store, explore, and interrogate episodic knowledge in an efficient way.

Official implementation of the paper "Linking In-context Learning in Transformers to Human Episodic Memory" by Li Ji-An, Corey Zhou, Marcus Benna, and Marcelo Mattar

Repo associated with 'Memory for own actions in parrots'