Deep RL

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024 PAE: Reinforcement Learning from External Knowledge for Efficient Exploration ICLR 2024 Parallelizing Model-based Reinforcement Learning Over the Sequence Length NeurIPS 2024 Parameterized Projected Bellman Operator AAAI 2024 Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) AAAI 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 Periodic agent-state based Q-learning for POMDPs NeurIPS 2024 Personalized Reinforcement Learning with a Budget of Policies AAAI 2024 PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation NeurIPS 2024 Planning Like Human: A Dual-process Framework for Dialogue Planning ACL 2024 PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds CoRL 2024 Pointwise-in-time diagnostics for reinforcement learning during training and runtime L4DC 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 Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NeurIPS 2024 PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction COLING 2024 PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping AAAI 2024 PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models CVPR 2024 Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation NeurIPS 2024 PRewrite: Prompt Rewriting with Reinforcement Learning ACL 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control ICML 2024