credit-assignment

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

Agentic RL最详细入门

Curated papers, taxonomy, benchmarks, and decision guides for credit assignment in reasoning and agentic LLM reinforcement learning.

NGC-Learn: Computational Neuroscience and NeuroAI 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

[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".

High-performance Triton kernels for reinforcement learning credit assignment

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

Exact-oracle conformance tests for turn-level credit assignment in agentic RL (GRPO, RLOO, GAE, GiGPO; verl, TRL, OpenRLHF).

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

A curated list of research on LLM-agent traces: evidence tracing, execution provenance, failure attribution, observability, runtime safety, memory provenance, and learning from traces. Companion list of arXiv:2606.04990.

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"