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)
Reinforcement Learning with Automated Auxiliary Loss Search
NeurIPS 2022
Reinforcement learning with Demonstrations from Mismatched Task under Sparse Reward
CoRL 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
AISTATS 2022
Reinforcement Learning with Large Action Spaces for Neural Machine Translation
COLING 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches
NeurIPS 2022
Reinforcement Learning with Non-Exponential Discounting
NeurIPS 2022
Reinforcement Learning with Option Machines
IJCAI 2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
ICLR 2022
Reinforcement Learning with Stochastic Reward Machines
AAAI 2022
Relational Abstractions for Generalized Reinforcement Learning on Symbolic Problems
IJCAI 2022
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL
NeurIPS 2022
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
AAAI 2022
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization
NeurIPS 2022
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning
UAI 2022
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2022
Rethinking Value Function Learning for Generalization in Reinforcement Learning
NeurIPS 2022
Retrieval-Augmented Reinforcement Learning
ICML 2022
ReVar: Strengthening policy evaluation via reduced variance sampling
UAI 2022
Revisiting Design Choices in Offline Model Based Reinforcement Learning
ICLR 2022
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning
ICML 2022
Revisiting the Roles of “Text” in Text Games
EMNLP 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
ICML 2022
Reward-Free Policy Space Compression for Reinforcement Learning
AISTATS 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
ICML 2022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
ICLR 2022