Methods

Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation ICML 2024 Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning ICML 2024 Learning Decentralized Multi-Biped Control for Payload Transport CoRL 2024 Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior ICLR 2024 Learning Discrete-Time Major-Minor Mean Field Games AAAI 2024 Learning Distinguishable Trajectory Representation with Contrastive Loss NeurIPS 2024 Learning Diverse Risk Preferences in Population-Based Self-Play AAAI 2024 Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach JMLR 2024 Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck AAAI 2024 Learning Embeddings for Sequential Tasks Using Population of Agents IJCAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024 Learning Fair Cooperation in Mixed-Motive Games with Indirect Reciprocity IJCAI 2024 Learning Formal Mathematics From Intrinsic Motivation NeurIPS 2024 Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning AAAI 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 Learning Generalizable and Composable Abstractions for Transfer in Reinforcement Learning AAAI 2024 Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm NeurIPS 2024 Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics ICLR 2024 Learning H-Infinity Locomotion Control CoRL 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning Latent Dynamic Robust Representations for World Models ICML 2024 Learning Long-Horizon Action Dependencies in Sampling-Based Bilevel Planning CoRL 2024 Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds ICML 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ICLR 2024