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)
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
CoRL 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NeurIPS 2024
On learning history-based policies for controlling Markov decision processes
AISTATS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NeurIPS 2024
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model
NeurIPS 2024
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints
ICML 2024
Online Learning with Off-Policy Feedback in Adversarial MDPs
IJCAI 2024
Online Markov Decision Processes Configuration with Continuous Decision Space
AAAI 2024
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
ICML 2024
Online Policy Optimization for Robust Markov Decision Process
UAI 2024
Online Policy Optimization in Unknown Nonlinear Systems
COLT 2024
Online Reinforcement Learning-Based Pedagogical Planning for Narrative-Centered Learning Environments
AAAI 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints
AAAI 2024
On Representation Complexity of Model-based and Model-free Reinforcement Learning
ICLR 2024
On Stationary Point Convergence of PPO-Clip
ICLR 2024
On task-relevant loss functions in meta-reinforcement learning
L4DC 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
NeurIPS 2024
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
ICLR 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
On the Model-Misspecification in Reinforcement Learning
AISTATS 2024
On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up
L4DC 2024
On the Role of General Function Approximation in Offline Reinforcement Learning
ICLR 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
NeurIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
On the Second-Order Convergence of Biased Policy Gradient Algorithms
ICML 2024