Reinforcement Learning

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 Manipulation by Predicting Interaction RSS 2024 Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach ICLR 2024 Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient NeurIPS 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning Optimal Deterministic Policies with Stochastic Policy Gradients ICML 2024 Learning Pareto Set for Multi-Objective Continuous Robot Control IJCAI 2024 Learning Quadruped Locomotion Using Differentiable Simulation CoRL 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Learning Representations for Robust Human-Robot Interaction AAAI 2024 Learning Robotic Locomotion Affordances and Photorealistic Simulators from Human-Captured Data CoRL 2024 Learning Robot Soccer from Egocentric Vision with Deep Reinforcement Learning CoRL 2024 Learning robust policies for uncertain parametric Markov decision processes L4DC 2024 Learning Safety Constraints from Demonstrations with Unknown Rewards AISTATS 2024 Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024 Learning Successor Features the Simple Way NeurIPS 2024