Various computational models for reinforcement learning
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Updated
Sep 12, 2017 - MATLAB
Various computational models for reinforcement learning
A study of reinforcement learning algorithms for fed-batch bioprocessesing
We attempt to enhance multi-agent coordination in a tightly-coupled domain using auto-encoders.
Awesome list of research publications and media on biologically-motivated learning algorithms.
Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurrent neural network models.
Investigating methods for stable credit assignment for deep reinforcement learning
[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python
Code accompanying "Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning"
NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python
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