← Methods
Reinforcement Learning › Methods ›

Deep RL

3861 directly classified papers

Papers per year

Papers

FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023
Human-Timescale Adaptation in an Open-Ended Task Space ICML 2023
Efficient Online Reinforcement Learning with Offline Data ICML 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023
Entropic Risk Optimization in Discounted MDPs AISTATS 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning AISTATS 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees AISTATS 2023
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables AISTATS 2023
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes AISTATS 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023
Exploration in Reward Machines with Low Regret AISTATS 2023
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning ICML 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning JMLR 2023
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging WACV 2023
Physically Plausible Animation of Human Upper Body From a Single Image WACV 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning ICML 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes ICML 2023
Masked Trajectory Models for Prediction, Representation, and Control ICML 2023
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023