NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
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Updated
Mar 2, 2024 - Python
NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
A study of reinforcement learning algorithms for fed-batch bioprocessesing
Investigating methods for stable credit assignment for deep reinforcement learning
Code accompanying "Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning"
Awesome list of research publications and media on biologically-motivated learning algorithms.
We attempt to enhance multi-agent coordination in a tightly-coupled domain using auto-encoders.
Various computational models for reinforcement learning
[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
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