Deep RL
4,525 papers
Papers per year
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Papers
Reward Certification for Policy Smoothed Reinforcement Learning
AAAI 2024
Reward-Free Curricula for Training Robust World Models
ICLR 2024
Reward Machines for Deep RL in Noisy and Uncertain Environments
NeurIPS 2024
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
AAAI 2024
Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint)
AAAI 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
NeurIPS 2024
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation
ICML 2024
Rich Human Feedback for Text-to-Image Generation
CVPR 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
ICML 2024
Risk-Aware Continuous Control with Neural Contextual Bandits
AAAI 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
AAAI 2024
Risk-sensitive control as inference with Rényi divergence
NeurIPS 2024
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
ICML 2024
RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving
AAAI 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
NeurIPS 2024
RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model
AISTATS 2024
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction
AAAI 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
ICML 2024
ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2vec2.0 Based ASR
Interspeech 2024
RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards
CoRL 2024
Robust Active Measuring under Model Uncertainty
AAAI 2024
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
ICLR 2024
Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning
JMLR 2024
Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective
L4DC 2024
Robust exploration with adversary via Langevin Monte Carlo
L4DC 2024