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

NGC-Learn: Computational Neuroscience and NeuroAI in Python

Agentic RL最详细入门

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

[SSAC 2026] Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks

A study of reinforcement learning algorithms for fed-batch bioprocessesing

Official codebase for the preprint: "Representation over Routing: Overcoming Surrogate Hacking in Multi-Timescale PPO".

Awesome list of research publications and media on biologically-motivated learning algorithms.

Investigating methods for stable credit assignment for deep reinforcement learning

Various computational models for reinforcement learning

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

We attempt to enhance multi-agent coordination in a tightly-coupled domain using auto-encoders.

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

Live proof of arXiv:2603.18859 — 0%→98% intermediate signal coverage

A persistent trust fabric for multi-agent AI: an irreversible, asymmetric matrix of gifts between agents where trust accumulates, credit is assigned, and deception is a measurable pathology. Grounded in the ontology of the gift (OWL/PROV-O).

Solving Frozen Lake with Q-Learning & credit assignment across grid sizes from 4×4 to 128x128 (is_slippery=false)

Reproduction of Lillicrap et al. 2014 (feedback alignment) across the paper's three tasks: linear function approximation, MNIST, and a nonlinear teacher-student setup.