conftrace_

Reinforcement Learning

9,982 papers (145 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Methods (8,258) Applications (3,394)

Papers per year

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1,128

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Papers (including subtopics)

Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data ICML 2025 Performative Reinforcement Learning with Linear Markov Decision Process AISTATS 2025 Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning AAAI 2025 Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning ICML 2025 PGPO: Enhancing Agent Reasoning via Pseudocode-style Planning Guided Preference Optimization ACL 2025 Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment CVPR 2025 PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning ICML 2025 PI-HMR: Towards Robust In-bed Temporal Human Shape Reconstruction with Contact Pressure Sensing CVPR 2025 PILAF: Optimal Human Preference Sampling for Reward Modeling ICML 2025 PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation RSS 2025 Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation AAAI 2025 Playpen: An Environment for Exploring Learning From Dialogue Game Feedback EMNLP 2025 PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning ICML 2025 Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater CVPR 2025 PN-GAIL: Leveraging Non-optimal Information from Imperfect Demonstrations ICLR 2025 POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding ICLR 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Point Policy: Unifying Observations and Actions with Key Points for Robot Manipulation CoRL 2025 POI Recommendation via Multi-Objective Adversarial Imitation Learning AAAI 2025 Poke and Strike: Learning Task-Informed Exploration Policies CoRL 2025 Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model ICLR 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Policy Gradient with Tree Expansion ICML 2025 Policy Guided Tree Search for Enhanced LLM Reasoning ICML 2025 Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML 2025