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)
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes
AAAI 2020
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
ICML 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
ICML 2020
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
ICLR 2020
Ranking Policy Gradient
ICLR 2020
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior
JMLR 2020
RD$^2$: Reward Decomposition with Representation Decomposition
NeurIPS 2020
Ready Policy One: World Building Through Active Learning
ICML 2020
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
IJCAI 2020
Reasoning on Knowledge Graphs with Debate Dynamics
AAAI 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
IJCAI 2020
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension
ACL 2020
Reducing Sampling Error in Batch Temporal Difference Learning
ICML 2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
UAI 2020
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models
AAAI 2020
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
CVPR 2020
Reinforced Multi-task Approach for Multi-hop Question Generation
COLING 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks
AAAI 2020
Reinforcement Learning for Control with Multiple Frequencies
NeurIPS 2020
Reinforcement Learning for Integer Programming: Learning to Cut
ICML 2020
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
ICML 2020
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism
ICML 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
RSS 2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
IJCAI 2020