Credit Assignment

Credit assignment in reinforcement learning (RL) addresses the challenge of determining which actions contribute to overall rewards, especially in complex scenarios with delayed or stochastic feedback. Current research focuses on improving credit assignment in various RL settings, including multi-agent systems and large language models, using techniques like Monte Carlo methods, attention mechanisms, and causal inference to enhance learning efficiency and performance. These advancements are crucial for improving the sample efficiency and scalability of RL algorithms, impacting diverse applications such as autonomous vehicles, robotics, and AI-driven decision-making systems. Furthermore, biologically-inspired approaches are being explored to create more robust and efficient learning algorithms.

Papers

October 2, 2024

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron Courville, Nicolas Le Roux
Large Language Model Proximal Policy Optimization Complex Reasoning Task LLM Reasoning Credit Assignment State of the Art Reinforcement Value Network

August 8, 2024

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization
Aditya Kapoor, Benjamin Freed, Howie Choset, Jeff Schneider
Multi Agent Reinforcement Learning Credit Assignment Individual Agent Multi Agent Task Multi Agent Proximal Policy Optimization

August 7, 2024

Asynchronous Credit Assignment Framework for Multi-Agent Reinforcement Learning
Yongheng Liang, Hejun Wu, Haitao Wang, Hao Cai
Multi Agent Reinforcement Learning Credit Assignment Asynchronous Architecture

May 6, 2024

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya A. Ramesh, Kenny Young, Louis Kirsch, Jürgen Schmidhuber
Reinforcement Learning Bias Variance Credit Assignment TD Learning Temporal Credit Assignment Sequence Compression

December 6, 2023

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment
Ziyan Wang, Yali Du, Yudi Zhang, Meng Fang, Biwei Huang
Causal Structure Credit Assignment Offline Multi Agent Reinforcement Learning Individual Agent

December 2, 2023

A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
Eduardo Pignatelli, Johan Ferret, Matthieu Geist, Thomas Mesnard, Hado van Hasselt, Laura Toni
Reinforcement Learning Timely Survey Deep Reinforcement Learning Credit Assignment Temporal Credit Assignment

December 1, 2023

Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment
Alexander G. Ororbia
Artificial Intelligence Timely Survey Neuroscience Research Computational Neuroscience Credit Assignment Inspired Learning

August 16, 2023

Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment
Qi Chen, Chaorui Deng, Zixiong Huang, Bowen Zhang, Mingkui Tan, Qi Wu
Text to Image Generation Text to Image Image Text Pair Text to Image Synthesis Credit Assignment Pre Trained Text to Image Patch Level

July 25, 2023

Structural Credit Assignment with Coordinated Exploration
Stephen Chung
Reward Signal Boltzmann Machine Credit Assignment

July 16, 2023

Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents
Thuy Ngoc Nguyen, Chase McDonald, Cleotilde Gonzalez
Technical Challenge Emerging Opportunity Cognitive Model Credit Assignment Instance Based Learning Temporal Credit Assignment

July 7, 2023

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment
Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon
Reinforcement Learning Transformer Megatron Decepticons Transformer Architecture Memory Trace Memory Augmentation Credit Assignment

June 29, 2023

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis
Alexander Meulemans, Simon Schug, Seijin Kobayashi, Nathaniel Daw, Gregory Wayne
Reward Report Sample Efficient Reinforcement Learning Credit Assignment Counterfactual Analysis

May 28, 2023

Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles
Utku Ayvaz, Chih-Hong Cheng, Hao Shen
Reinforcement Learning Autonomous Vehicle Long Term Cooperation Reward Shaping Credit Assignment Collaborative Reinforcement Learning

May 14, 2023

Theta sequences as eligibility traces: a biological solution to credit assignment
Tom M George
Solution Path Memory Trace Credit Assignment Neural Memory Eligibility Criterion Theta to Alpha

April 26, 2023

N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
Zichuan Liu, Yuanyang Zhu, Chunlin Chen
Reinforcement Learning Credit Assignment Value Decomposition Additive Attention

April 2, 2023

Large Language Models are Few-shot Publication Scoopers
Samuel Albanie, Liliane Momeni, João F. Henriques
Large Language Model Credit Assignment Stage Network Shot Sample

December 22, 2022

Towards Causal Credit Assignment
Mátyás Schubert
Reinforcement Learning Credit Assignment

December 2, 2022

Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
Zhen Liang, Changyuan Zhao, Wanwei Liu, Bai Xue, Wenjing Yang, Zhengbin Pang
Neural Network Neural Network Architecture Koopman Operator Backward Propagation Credit Assignment

October 10, 2022

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient
Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao
Policy Gradient Cooperative Multi Agent Reinforcement Learning Credit Assignment Multi Agent Policy Differential Game Matrix Game

October 5, 2022

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation
I. Elizabeth Kumar, Keegan E. Hines, John P. Dickerson
Practical Algorithm Algorithmic Fairness Credit Assignment Fair Credit Discriminatory Decision Credit Risk Model

Credit Assignment

Papers

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment

Assigning Credit with Partial Reward Decoupling in Multi-Agent Proximal Policy Optimization

Asynchronous Credit Assignment Framework for Multi-Agent Reinforcement Learning

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

MACCA: Offline Multi-agent Reinforcement Learning with Causal Credit Assignment

A Survey of Temporal Credit Assignment in Deep Reinforcement Learning

Brain-Inspired Machine Intelligence: A Survey of Neurobiologically-Plausible Credit Assignment

Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment

Structural Credit Assignment with Coordinated Exploration

Credit Assignment: Challenges and Opportunities in Developing Human-like AI Agents

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

Potential-based Credit Assignment for Cooperative RL-based Testing of Autonomous Vehicles

Theta sequences as eligibility traces: a biological solution to credit assignment

N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

Large Language Models are Few-shot Publication Scoopers

Towards Causal Credit Assignment

Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient

Equalizing Credit Opportunity in Algorithms: Aligning Algorithmic Fairness Research with U.S. Fair Lending Regulation