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
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'25
Papers (including subtopics)
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments
EACL 2023
Policy-Based Self-Competition for Planning Problems
ICLR 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
ICCV 2023
Policy Contrastive Imitation Learning
ICML 2023
Policy Evaluation in Distributional LQR
L4DC 2023
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning
ICLR 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
NeurIPS 2023
Policy Gradient for Rectangular Robust Markov Decision Processes
NeurIPS 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee
ICML 2023
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
JMLR 2023
Policy Gradient Play with Networked Agents in Markov Potential Games
L4DC 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Policy Learning for Active Target Tracking over Continuous $SE(3)$ Trajectories
L4DC 2023
Policy Optimization for Continuous Reinforcement Learning
NeurIPS 2023
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
NeurIPS 2023
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
ICML 2023
POPGym: Benchmarking Partially Observable Reinforcement Learning
ICLR 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
CVPR 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
Posterior sampling-based online learning for the stochastic shortest path model
UAI 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
NeurIPS 2023
Posterior Sampling for Deep Reinforcement Learning
ICML 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
NeurIPS 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
ICLR 2023
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
ICML 2023