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)

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Papers (including subtopics)

Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 Oracle-Efficient Reinforcement Learning for Max Value Ensembles NeurIPS 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL NeurIPS 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning ICML 2024 P2BPO: Permeable Penalty Barrier-Based Policy Optimization for Safe RL AAAI 2024 PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning AAAI 2024 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 fast and safe tracking (FaSTrack) using DeepReach L4DC 2024 Parameterized Projected Bellman Operator AAAI 2024 Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer ECCV 2024 Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation IJCAI 2024 Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) AAAI 2024 Paths to Equilibrium in Games NeurIPS 2024 Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 PDE control gym: A benchmark for data-driven boundary control of partial differential equations L4DC 2024 PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning NeurIPS 2024 Pearl: A Production-Ready Reinforcement Learning Agent JMLR 2024 PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation ICML 2024