Co-occurring keywords · papers mentioning both
Papers
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
AAAI 2023
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching
EMNLP 2023
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav
CVPR 2023
Planning and Learning for Reliable Autonomy in the Open World
AAAI 2023
Planning and Learning with Adaptive Lookahead
AAAI 2023
Planning Multiple Epidemic Interventions with Reinforcement Learning
IJCAI 2023
Planning with Sequence Models through Iterative Energy Minimization
ICLR 2023
Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?
IJCAI 2023
Policy-based Reinforcement Learning for Generalisation in Interactive Text-based Environments
EACL 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning
ICCV 2023
Policy Contrastive Imitation Learning
ICML 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
ICML 2023
Policy Optimization for Continuous Reinforcement Learning
NeurIPS 2023
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
NeurIPS 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
CVPR 2023
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
ICLR 2023
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
AAAI 2023
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
ICML 2023
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
EMNLP 2023
Precise Robotic Needle-Threading with Tactile Perception and Reinforcement Learning
CoRL 2023
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation
AAAI 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
EMNLP 2023
Prioritizing Samples in Reinforcement Learning with Reducible Loss
NeurIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right
NeurIPS 2023