conftrace_

Methods

8,258 papers (12 classified directly here)

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

Deep RL (4,525) Policy Learning (2,633) Multi-Agent Systems (1,251) Offline RL (1,025) Model-Based RL (291) Meta-Learning (80)

Papers per year

6

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16

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24

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31

36

44

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44

37

63

171

350

606

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920

974

1,144

1,380

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319

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Papers (including subtopics)

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning AAAI 2024 RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space NeurIPS 2024 RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation ICML 2024 Rich Human Feedback for Text-to-Image Generation CVPR 2024 Rich-Observation Reinforcement Learning with Continuous Latent Dynamics ICML 2024 RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences ICML 2024 Risk-Aware Continuous Control with Neural Contextual Bandits AAAI 2024 Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024 Risk-sensitive control as inference with Rényi divergence NeurIPS 2024 Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient ICML 2024 RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback ICML 2024 RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving AAAI 2024 RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NeurIPS 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024 RLVF: Learning from Verbal Feedback without Overgeneralization ICML 2024 RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback ICML 2024 ROAR: Reinforcing Original to Augmented Data Ratio Dynamics for Wav2vec2.0 Based ASR Interspeech 2024 RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards CoRL 2024 Robust Active Measuring under Model Uncertainty AAAI 2024 Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula ICLR 2024 Robust Black-Box Optimization for Stochastic Search and Episodic Reinforcement Learning JMLR 2024 Robust Communicative Multi-Agent Reinforcement Learning with Active Defense AAAI 2024 Robust cooperative multi-agent reinforcement learning: A mean-field type game perspective L4DC 2024 Robust exploration with adversary via Langevin Monte Carlo L4DC 2024