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Reviewers in the wild
The CS expert database: 1,777,551 experts · 2,837,695 papers in CCF A–C and ICORE A*–C venues · 10 venue-derived domains · snapshot 2026-09-22.
Experts by research domain — the database's own venue-derived domains; a paper can belong to several; active = at least one paper since 2021
Artificial intelligence and machine learning
419,855 active · 726,626 total · 856,312 papers
NeurIPS · AAAI · ESWA · CVPR · ICML · EAAI
Graphics, computer vision, multimedia, augmented reality and games
220,290 active · 419,218 total · 473,177 papers
AAAI · ICASSP · MTA · CVPR · INTERSPEECH · ICCV
Applied, interdisciplinary, general and emerging computing
306,612 active · 637,688 total · 436,260 papers
TGARS · IGARSS · TITS · TII · CogSci · Bioinformatics
Systems, architecture and hardware
148,087 active · 345,638 total · 325,499 papers
IROS · ICRA · VTC · ISCAS · TJSC · IECON
Computer networks
105,468 active · 214,616 total · 249,845 papers
IOT · ICC · GLOBECOM · TWC · TCOM · TMC
Databases, data management, data science and information retrieval
134,049 active · 269,256 total · 249,104 papers
IEEE BigData · CIKM · SIGKDD · TKDE · AEI · SIGIR
Theory of computation
38,447 active · 105,648 total · 202,645 papers
TIT · TCS · DAM · SODA · STOC · ICALP
Human-computer interaction and ubiquitous computing
114,847 active · 268,055 total · 198,672 papers
CHI · SMC · TSMC · SIGCSE · PACMHCI · IJHCI
Software engineering, systems software and programming languages
76,605 active · 178,952 total · 173,661 papers
DATE · COMPSAC · CoDIT · PACM PL · TSC · JSS
Security and privacy
57,527 active · 109,981 total · 102,399 papers
TIFS · TDSC · USENIX Security · TrustCom · CCS · JISA
Experts by expertise
The expertise taxonomy: 90,661 topics extracted from 634,694 papers of 537,692 experts, organised under the ten CCF categories and 168 areas. Pick a category, then narrow down to a topic; every level lists its experts by weight.
Artificial intelligence
231,922 experts · 238,182 papers
33 areas · 23,066 topics
Theoretical computer science
84,688 experts · 103,442 papers
15 areas · 12,358 topics
Computer architecture, parallel and distributed computing, and storage systems
119,266 experts · 88,175 papers
18 areas · 10,819 topics
Computer graphics and multimedia
99,217 experts · 74,150 papers
13 areas · 7,821 topics
Computer networks
79,947 experts · 72,281 papers
18 areas · 9,664 topics
Databases, data mining, and information retrieval
83,822 experts · 68,869 papers
17 areas · 7,059 topics
Network and information security
67,706 experts · 53,290 papers
15 areas · 5,550 topics
Interdisciplinary, comprehensive, and emerging computing
111,858 experts · 46,353 papers
9 areas · 5,108 topics
Human-computer interaction and pervasive computing
77,670 experts · 43,820 papers
16 areas · 4,757 topics
Software engineering, system software, and programming languages
53,122 experts · 40,802 papers
14 areas · 4,459 topics
Sub-topics
244 · with their number of papers; shaded topics divide further
multi-agent reinforcement learning 1,511exploration 952imitation learning 794multi-armed bandit 732offline reinforcement learning 732model-based reinforcement learning 708deep reinforcement learning 706markov decision process 613policy optimization 592regret minimization 497bandit 431hierarchical reinforcement learning 425reinforcement learning from human feedback 371policy learning 359actor-critic methods 324safe reinforcement learning 282value-based reinforcement learning 271temporal difference learning 242off-policy evaluation 224sample efficiency 207off-policy reinforcement learning 197value function approximation 194meta-reinforcement learning 176policy evaluation 149value function estimation 148reward learning 139continuous control 137thompson sampling 137reward design 136preference learning 128constrained reinforcement learning 126goal-conditioned reinforcement learning 121policy search 121partially observable reinforcement learning 115multi-objective reinforcement learning 110robust reinforcement learning 110function approximation 107multi-task reinforcement learning 104model-free reinforcement learning 101transfer learning in reinforcement learning 86generalization in reinforcement learning 57bayesian reinforcement learning 56dynamic programming 55reinforcement learning theory 54reinforcement learning for control 42maximum entropy reinforcement learning 40action selection 34reinforcement learning for combinatorial optimization 32policy adaptation 31unsupervised reinforcement learning 30delayed feedback 29sparse reward reinforcement learning 28agent evaluation 27curriculum reinforcement learning 25episodic reinforcement learning 25non-stationary reinforcement learning 25sparse reward 25reward maximization 24partial observability 21human-in-the-loop reinforcement learning 20reinforcement learning for reasoning 19relational reinforcement learning 19human feedback 18value function 18online control 17reinforcement learning environment 17representation learning for control 17differentiable simulation 15on-policy reinforcement learning 15stochastic control 15bellman equation 14continuous-time reinforcement learning 14stochastic environment 14long-horizon tasks 12policy diversity 12reinforcement learning with function approximation 12trajectory modeling 12benchmark design 11cost function learning 11human behavior modeling 11multi-turn reinforcement learning 11reinforcement learning for recommendation 11self-improving agent 11causal reinforcement learning 10hybrid reinforcement learning 10kernel-based reinforcement learning 10large action space 10large-scale reinforcement learning 10LLM agent training 10safety constraints 10self-supervised reinforcement learning 10embodied control 7ensemble reinforcement learning 7knowledge-based reinforcement learning 7memory architectures 7online decision making 6action space design 5policy composition 5reinforcement learning for NLP 5regularization for reinforcement learning 4population-based learning 3
Show 143 smaller topics (under 10 papers each)
embodied agent training 9learning automata 9non-stochastic control 9reinforcement learning for healthcare 9active inference 8data augmentation for reinforcement learning 8delayed reinforcement learning 8generalist agents 8offline learning 8reinforcement learning for vision 8auto-bidding 7discount factor 7efficient reinforcement learning 7hindsight relabeling 7learning from failure 7preference feedback 7real-world reinforcement learning 7reinforcement learning from process rewards 7two-timescale stochastic approximation 7adaptive discretization 6belief state 6competitive analysis 6goal-reaching tasks 6language-conditioned policy 6oracle-efficient algorithms 6policy selection 6reinforcement learning training 6reward uncertainty 6sparse-reward environments 6strategic decision-making 6target network 6task inference 6action elimination 5automated reinforcement learning 5autonomous reinforcement learning 5behavioral prior 5cognitive control 5continuous state-action spaces 5dispatching strategy 5factored reinforcement learning 5heavy-tailed reward 5oculomotor control 5outcome-based reinforcement learning 5parallel reinforcement learning 5policy training 5reinforcement learning for structured prediction 5reinforcement learning library 5rich observations 5self-evolution 5sequential experimental design 5simulation-based training 5trajectory alignment 5adaptive data collection 4adaptive optimal control 4adaptive policy 4agent behavior analysis 4bilevel reinforcement learning 4board game playing 4dynamic weighting 4empirical likelihood 4episodic learning 4experience reuse 4experience-based learning 4fleet management 4goal-conditioned control 4goal-driven learning 4guided reinforcement learning 4hybrid-action reinforcement learning 4hyperparameter scheduling 4interactive task learning 4learned objective functions 4low-rank structure 4planning and learning 4plasticity preservation 4policy estimation 4policy generation 4policy initialization 4real-time learning 4reinforcement learning for optimization 4reward function 4risk-sensitive policy 4safety-critical decision making 4semiparametric efficient estimation 4sequential task learning 4spatial crowdsourcing task assignment 4specification inference 4switching costs 4task composition 4textual reinforcement learning 4two-player game 4undiscounted reinforcement learning 4variance minimization 4affordances 3agent-environment interaction 3algorithmic alignment 3behavior foundation models 3behavior learning 3biological sequence design 3biologically plausible reinforcement learning 3context detection 3continuous-time control 3delayed rewards 3demonstration dataset 3diversity optimization 3event-based reinforcement learning 3goal representation 3high-dimensional dynamical systems 3image denoising 3iterative self-learning 3koopman operator learning 3large-scale decision making 3learning from user feedback 3learning progress prediction 3long-horizon control 3market simulation 3markov reward process 3modular policy 3multi-step lookahead 3multimodal reinforcement learning 3neuromodulation 3observational learning 3personalized reinforcement learning 3player evaluation 3policy alignment 3policy computation 3preference specification 3rare-event simulation 3reinforcement learning for generative models 3reinforcement learning for vision-language tasks 3reinforcement learning from reward models 3rollout budget allocation 3runtime adaptation 3sample allocation 3sparse reward learning 3state augmentation 3stochastic dominance 3strategy selection 3structure detection 3supervised learning for RL 3tabular reinforcement learning 3trajectory augmentation 3value prediction 3world simulator 3
Experts on Reinforcement learning
30,121 · by weight: papers on the topic counted with recency (1 for a paper about it, 0.3 as context, halved every five years), summed over the area's topics