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

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'25

Papers (including subtopics)

Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies ICML 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer AAAI 2024 LOQA: Learning with Opponent Q-Learning Awareness ICLR 2024 Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery ICML 2024 Low-rank MDPs with Continuous Action Spaces AISTATS 2024 M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games IJCAI 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 MaIL: Improving Imitation Learning with Selective State Space Models CoRL 2024 Major-Minor Mean Field Multi-Agent Reinforcement Learning ICML 2024 MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning ICLR 2024 MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery AAAI 2024 ManiWAV: Learning Robot Manipulation from In-the-Wild Audio-Visual Data CoRL 2024 MARCO: Multi-Agent Real-time Chat Orchestration EMNLP 2024 Mastering Memory Tasks with World Models ICLR 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