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)
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
ICLR 2023
MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling
EMNLP 2023
Multi-Action Dialog Policy Learning from Logged User Feedback
AAAI 2023
Multi-Agent Advisor Q-Learning (Extended Abstract)
IJCAI 2023
Multi-Agent Automated Machine Learning
CVPR 2023
Multi-Agent congestion cost minimization with linear function approximations
AISTATS 2023
Multi-Agent First Order Constrained Optimization in Policy Space
NeurIPS 2023
Multi-Agent Learning from Learners
ICML 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
NeurIPS 2023
Multi-Agent Reinforcement Learning with Reward Delays
L4DC 2023
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
ICML 2023
Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract)
AAAI 2023
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations
NeurIPS 2023
Multi-objective Adaptive Dynamics Attention Model to Solve Multi-objective Vehicle Routing Problem
ACML 2023
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
NeurIPS 2023
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality
ICLR 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
NeurIPS 2023
Multiple-policy High-confidence Policy Evaluation
AISTATS 2023
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models
NeurIPS 2023
Multi-Task Off-Policy Learning from Bandit Feedback
ICML 2023
Multi-User Reinforcement Learning with Low Rank Rewards
ICML 2023
Mutual-Information Regularized Multi-Agent Policy Iteration
NeurIPS 2023
Mutual Information Regularized Offline Reinforcement Learning
NeurIPS 2023
NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning
ICML 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
NeurIPS 2023