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
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'25
Papers (including subtopics)
Reasoning with Latent Diffusion in Offline Reinforcement Learning
ICLR 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR
NeurIPS 2024
Recent Advancements in Inverse Reinforcement Learning
AAAI 2024
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents
NeurIPS 2024
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces
ICLR 2024
Reconciling Reality through Simulation: A Real-To-Sim-to-Real Approach for Robust Manipulation
RSS 2024
Reconciling Spatial and Temporal Abstractions for Goal Representation
ICLR 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model
CVPR 2024
Recurrent Reinforcement Learning with Memoroids
NeurIPS 2024
ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
ICML 2024
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract)
COLT 2024
Refining Minimax Regret for Unsupervised Environment Design
ICML 2024
Reflective Policy Optimization
ICML 2024
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs
ACL 2024
ReFT: Reasoning with Reinforced Fine-Tuning
ACL 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
AAAI 2024
Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures
AISTATS 2024
Regularized Q-Learning
NeurIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024
Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection
AAAI 2024
Reinforced Multiple Instance Selection for Speaker Attribute Prediction
NAACL 2024
Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
AAAI 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
AAAI 2024
Reinforcement Learning based Data Augmentation for Noise Robust Speech Emotion Recognition
Interspeech 2024