← Methods
Reinforcement Learning › Methods ›

Deep RL

3861 directly classified papers

Papers per year

Papers

Adapting image-based RL policies via predicted rewards L4DC 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization COLING 2024
PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024
What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction AAAI 2024
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024
Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning AAAI 2024
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning AAAI 2024
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation NIPS 2024
Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery AAAI 2024
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance AAAI 2024
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024
Using Unity to Help Solve Reinforcement Learning NIPS 2024
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NIPS 2024
Pure-Past Action Masking AAAI 2024
Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations AAAI 2024
Actor Prioritized Experience Replay (Abstract Reprint) AAAI 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024