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

1

2

2

16

21

24

16

31

36

44

47

44

37

63

171

350

606

801

920

974

1,144

1,380

1,203

319

'5

'10

'15

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'25

Papers (including subtopics)

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 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 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 Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning ICML 2024 Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024 Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NeurIPS 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024 Mimicking Better by Matching the Approximate Action Distribution ICML 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games NeurIPS 2024 MimicTouch: Leveraging Multi-modal Human Tactile Demonstrations for Contact-rich Manipulation CoRL 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning NeurIPS 2024