Policy Learning
2,633 papers
Papers per year
6
1
1
12
11
14
10
24
16
26
26
27
25
27
61
122
198
236
281
291
346
433
377
62
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Papers
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
CoRL 2023
Imitating Graph-Based Planning with Goal-Conditioned Policies
ICLR 2023
Imitation Learning As State Matching via Differentiable Physics
CVPR 2023
Imitation Learning from Vague Feedback
NeurIPS 2023
Impossibly Good Experts and How to Follow Them
ICLR 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
NeurIPS 2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
AISTATS 2023
Improving Deep Policy Gradients with Value Function Search
ICLR 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning
IJCAI 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning
JMLR 2023
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives
NeurIPS 2023
Internally Rewarded Reinforcement Learning
ICML 2023
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach
NeurIPS 2023
Inverse Reinforcement Learning for Text Summarization
EMNLP 2023
Inverse Reinforcement Learning without Reinforcement Learning
ICML 2023
Inverse Reinforcement Learning with the Average Reward Criterion
NeurIPS 2023
Is RLHF More Difficult than Standard RL? A Theoretical Perspective
NeurIPS 2023
Iteratively Learn Diverse Strategies with State Distance Information
NeurIPS 2023
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework
IJCAI 2023
KRLS: Improving End-to-End Response Generation in Task Oriented Dialog with Reinforced Keywords Learning
EMNLP 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
ICML 2023
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs
NeurIPS 2023
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback
NeurIPS 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
ICML 2023