Deep RL
4,525 papers
Papers per year
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21
27
32
21
17
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103
241
418
498
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Papers
Transformers Learn Transition Dynamics when Trained to Predict Markov Decision Processes
EMNLP 2024
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games
AAAI 2024
Tree Search-Based Policy Optimization under Stochastic Execution Delay
ICLR 2024
TRIP NEGOTIATOR: A Travel Persona-aware Reinforced Dialogue Generation Model for Personalized Integrative Negotiation in Tourism
EMNLP 2024
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
ACL 2024
Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation
AAAI 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
NeurIPS 2024
Uncertainty-Aware Reward-Free Exploration with General Function Approximation
ICML 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions
NeurIPS 2024
Understanding and Diagnosing Deep Reinforcement Learning
ICML 2024
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
ICLR 2024
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning
NeurIPS 2024
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization
ICLR 2024
Universal Humanoid Motion Representations for Physics-Based Control
ICLR 2024
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
ICML 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
NeurIPS 2024
Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
AAAI 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
AAAI 2024
Using Unity to Help Solve Reinforcement Learning
NeurIPS 2024
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training
NeurIPS 2024
Value-Distributional Model-Based Reinforcement Learning
JMLR 2024
Value-Evolutionary-Based Reinforcement Learning
ICML 2024
Variational Delayed Policy Optimization
NeurIPS 2024
Verified Safe Reinforcement Learning for Neural Network Dynamic Models
NeurIPS 2024
Versatile Navigation Under Partial Observability via Value-guided Diffusion Policy
CVPR 2024