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Reinforcement Learning

83 directly classified papers

Subtopics

Applications (40) Methods (9)

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Papers

A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022
Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors L4DC 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
Online No-regret Model-Based Meta RL for Personalized Navigation L4DC 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control L4DC 2022
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022
Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022
Dimensionality Reduction and Prioritized Exploration for Policy Search AISTATS 2022
Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021
Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning IJCAI 2021
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective ICML 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization AAAI 2021
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Episodic Learning for Safe Bipedal Locomotion with Control Barrier Functions and Projection-to-State Safety L4DC 2021
Reinforcing an Image Caption Generator Using Off-Line Human Feedback AAAI 2020
Robust Learning-Based Control via Bootstrapped Multiplicative Noise L4DC 2020
Constrained Upper Confidence Reinforcement Learning L4DC 2020
Objective Mismatch in Model-based Reinforcement Learning L4DC 2020
Lyceum: An efficient and scalable ecosystem for robot learning L4DC 2020
Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020