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Policy Learning

2068 directly classified papers

Papers per year

Papers

Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025
Augmented Lagrangian Risk-constrained Reinforcement Learning for Portfolio Optimization (Student Abstract) AAAI 2025
Rule-Guided Reinforcement Learning Policy Evaluation and Improvement IJCAI 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025
Imitation Learning via Focused Satisficing IJCAI 2025
Concurrent Planning and Execution Using Dispatch-Dependent Values IJCAI 2025
A Case for Validation Buffer in Pessimistic Actor-Critic IJCAI 2025
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO NIPS 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024
Policy Aggregation NIPS 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NIPS 2024
Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024
ABLE: Personalized Disability Support with Politeness and Empathy Integration EMNLP 2024
Flipping-based Policy for Chance-Constrained Markov Decision Processes NIPS 2024
Periodic agent-state based Q-learning for POMDPs NIPS 2024
P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning NIPS 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning AAAI 2024