Clean baseline implementation of PPO using an episodic TransformerXL memory
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Updated
May 13, 2024 - Python
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
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.
Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife
Psifr: Analysis and visualization of free recall data
Mementar is a ROS package to store, explore, and interrogate episodic knowledge in an efficient way.
The OpenAI-Gym-compatible Room environment.
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!
A machine with human-like memory systems.
Code for exploring how we distribute our thoughts over time when we remember, using data from a naturalistic memory experiment.
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory. CVPR 2023.
Contextual incongruency triggers memory reinstatement and the disruption of neural stability (2023 NeuroImage, Xiongbo Wu)
Pepper implementation of the cognitive architecture for Trust and Theory of Mind in humanoid robots applied to Vanderbilt's experiment.
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)
Repo associated with 'Memory for own actions in parrots'
Continual Learning methods using Episodic Memory (CLEM) in PyTorch
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