Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
2
2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
'5
'10
'15
'20
'25
Papers (including subtopics)
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
ACL 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4
NeurIPS 2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
ACL 2023
FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning
AAAI 2023
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs
NeurIPS 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning
AAAI 2023
Faster Target Encirclement with Utilization of Obstacles via Multi-Agent Reinforcement Learning
ACML 2023
Fast Offline Policy Optimization for Large Scale Recommendation
AAAI 2023
Fast Rates for Maximum Entropy Exploration
ICML 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
CoRL 2023
Fast Teammate Adaptation in the Presence of Sudden Policy Change
UAI 2023
Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
EACL 2023
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching
CoRL 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
NeurIPS 2023
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks
IJCAI 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Finding Safe Zones of Markov Decision Processes Policies
NeurIPS 2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
NeurIPS 2023
Finetuning Offline World Models in the Real World
CoRL 2023
Finite-sample guarantees for Nash Q-learning with linear function approximation
UAI 2023
Finite-Time Analysis of Single-Timescale Actor-Critic
NeurIPS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation
AISTATS 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation
NeurIPS 2023
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
ICML 2023
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
NeurIPS 2023