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)

Mastering Memory Tasks with World Models ICLR 2024 Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games ICML 2024 Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality JMLR 2024 Maximum entropy GFlowNets with soft Q-learning AISTATS 2024 Maximum Entropy Heterogeneous-Agent Reinforcement Learning ICLR 2024 Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models NeurIPS 2024 Maximum Entropy Model Correction in Reinforcement Learning ICLR 2024 Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow NeurIPS 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences ICML 2024 MBC: Multi-Brain Collaborative Control for Quadruped Robots CoRL 2024 Mean-Field Approximation of Cooperative Constrained Multi-Agent Reinforcement Learning (CMARL) JMLR 2024 Mean-Field Games With Finitely Many Players: Independent Learning and Subjectivity JMLR 2024 Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning ICML 2024 Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NeurIPS 2024 MeMo: Meaningful, Modular Controllers via Noise Injection NeurIPS 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills CoRL 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer ICLR 2024 Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis ICLR 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 Meta-learning linear quadratic regulators: a policy gradient MAML approach for model-free LQR L4DC 2024