Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
'10
'15
'20
'25
Papers (including subtopics)
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning
ACML 2021
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization
ICCV 2021
Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy
Interspeech 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning
ICML 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
NeurIPS 2021
Cautious Actor-Critic
ACML 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy Search
L4DC 2021
Cautiously Optimistic Policy Optimization and Exploration with Linear Function Approximation
COLT 2021
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning
NeurIPS 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
IJCAI 2021
ChainerRL: A Deep Reinforcement Learning Library
JMLR 2021
Characterizing the Gap Between Actor-Critic and Policy Gradient
ICML 2021
CLAIM: curriculum learning policy for influence maximization in unknown social networks
UAI 2021
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
ICLR 2021
C-Learning: Learning to Achieve Goals via Recursive Classification
ICLR 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition
ICML 2021
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning
NeurIPS 2021
Collaborating with Humans without Human Data
NeurIPS 2021
Collect & Infer - a fresh look at data-efficient Reinforcement Learning
CoRL 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation
CVPR 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning
ICML 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
AAAI 2021
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
AAAI 2021
Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings
CVPR 2021
COMBO: Conservative Offline Model-Based Policy Optimization
NeurIPS 2021