Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

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.

[AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

A study of reinforcement learning algorithms for fed-batch bioprocessesing

Various computational models for 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.

NGC-Learn: Predictive Coding and Neurobiologically-Motivated Learning in Python

Code accompanying "Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning"

Investigating methods for stable credit assignment for deep reinforcement learning