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)
Differentially Private Regret Minimization in Episodic Markov Decision Processes
AAAI 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search
AISTATS 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
NeurIPS 2022
Direct Advantage Estimation
NeurIPS 2022
Direct Behavior Specification via Constrained Reinforcement Learning
ICML 2022
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
ICLR 2022
Discovered Policy Optimisation
NeurIPS 2022
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning
NeurIPS 2022
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations
ICML 2022
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
ICML 2022
Disentangling Transfer in Continual Reinforcement Learning
NeurIPS 2022
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
AAAI 2022
Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping
L4DC 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems
NeurIPS 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems
NeurIPS 2022
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
ICML 2022
Distributionally Adaptive Meta Reinforcement Learning
NeurIPS 2022
Distributionally Robust Q-Learning
ICML 2022
Distributional Reinforcement Learning for Risk-Sensitive Policies
NeurIPS 2022
Distributional Reinforcement Learning with Monotonic Splines
ICLR 2022
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning
NeurIPS 2022
Divergence-Regularized Multi-Agent Actor-Critic
ICML 2022
DNA: Proximal Policy Optimization with a Dual Network Architecture
NeurIPS 2022
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning
ICML 2022
Document-level Event Factuality Identification via Reinforced Multi-Granularity Hierarchical Attention Networks
IJCAI 2022