Co-occurring keywords · papers mentioning both
Papers
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
ACL 2024
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
ICLR 2024
Parseval Regularization for Continual Reinforcement Learning
NeurIPS 2024
PDE control gym: A benchmark for data-driven boundary control of partial differential equations
L4DC 2024
Pearl: A Production-Ready Reinforcement Learning Agent
JMLR 2024
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
AAAI 2024
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
NeurIPS 2024
Personalized Abstractive Summarization by Tri-agent Generation Pipeline
EACL 2024
Personalized Reinforcement Learning with a Budget of Policies
AAAI 2024
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
NeurIPS 2024
Planning Like Human: A Dual-process Framework for Dialogue Planning
ACL 2024
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
ICLR 2024
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
ICLR 2024
Pointwise-in-time diagnostics for reinforcement learning during training and runtime
L4DC 2024
Polarity Calibration for Opinion Summarization
NAACL 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis
AISTATS 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
NeurIPS 2024
Policy Mirror Descent with Lookahead
NeurIPS 2024
PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction
COLING 2024
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
ICML 2024
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making
ICML 2024
PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
AAAI 2024
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent
CoNLL 2024
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models
CVPR 2024
Predicting Future Actions of Reinforcement Learning Agents
NeurIPS 2024