Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018
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Updated
Sep 5, 2018 - Python
Code for paper "Episodic Memory Deep Q-Networks" (https://arxiv.org/abs/1805.07603), IJCAI 2018
Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.
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.
Continual Learning methods using Episodic Memory (CLEM) in PyTorch
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!
Code for exploring how we distribute our thoughts over time when we remember, using data from a naturalistic memory experiment.
Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
Repo associated with 'Memory for own actions in parrots'
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CVPR 2023.
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
A machine with human-like memory systems.
The OpenAI-Gym-compatible Room environment.
Post-encoding Reactivation Is Related to Learning of Episodes in Humans (2022 Journal of Cognitive Neuroscience, Xiongbo Wu)
Contextual incongruency triggers memory reinstatement and the disruption of neural stability (2023 NeuroImage, Xiongbo Wu)
Distinct encoding and post-encoding representational formats contribute to episodic sequence memory formation (2023 Cerebral Cortex, Xiongbo Wu)
Psifr: Analysis and visualization of free recall data
Clean baseline implementation of PPO using an episodic TransformerXL memory
Mementar is a ROS package to store, explore, and interrogate episodic knowledge in an efficient way.
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