Deep RL
4,525 papers
Papers per year
1
9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
'10
'15
'20
'25
Papers
ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo
ICCV 2023
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
ICML 2023
Replicable Reinforcement Learning
NeurIPS 2023
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
NeurIPS 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
Representation Learning in Deep RL via Discrete Information Bottleneck
AISTATS 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
ICML 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
ICML 2023
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor
ICLR 2023
Resetting the Optimizer in Deep RL: An Empirical Study
NeurIPS 2023
Retrosynthetic Planning with Dual Value Networks
ICML 2023
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization
ICML 2023
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments
ICLR 2023
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching
ICLR 2023
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective
AAAI 2023
Reward Design with Language Models
ICLR 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards
NeurIPS 2023
Reward Gaming in Conditional Text Generation
ACL 2023
Reward-Mixing MDPs with Few Latent Contexts are Learnable
ICML 2023
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks
NeurIPS 2023
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing
NeurIPS 2023
RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning
AAAI 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization
NeurIPS 2023
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning
CoRL 2023