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)
Optimizing Tensor Network Contraction Using Reinforcement Learning
ICML 2022
Option Transfer and SMDP Abstraction with Successor Features
IJCAI 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
NeurIPS 2022
Orchestrated Value Mapping for Reinforcement Learning
ICLR 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning
NeurIPS 2022
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
NeurIPS 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
ICML 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
NeurIPS 2022
PantheonRL: A MARL Library for Dynamic Training Interactions
AAAI 2022
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning
SemEval 2022
Pareto Policy Adaptation
ICLR 2022
Pareto Policy Pool for Model-based Offline Reinforcement Learning
ICLR 2022
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
ICLR 2022
Parsing Natural Language into Propositional and First-Order Logic with Dual Reinforcement Learning
COLING 2022
Partner Personas Generation for Dialogue Response Generation
NAACL 2022
PDSketch: Integrated Domain Programming, Learning, and Planning
NeurIPS 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning
IJCAI 2022
PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation
COLING 2022
Perceiving the World: Question-guided Reinforcement Learning for Text-based Games
ACL 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
NeurIPS 2022
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
ICML 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
ICLR 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets
ICML 2022
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
ICML 2022
PG3: Policy-Guided Planning for Generalized Policy Generation
IJCAI 2022