off-policy learning

Chaining Value Functions for Off-Policy Learning AAAI 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022 d3rlpy: An Offline Deep Reinforcement Learning Library JMLR 2022 Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency AAAI 2022 Divergence-Regularized Multi-Agent Actor-Critic ICML 2022 Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula CoRL 2022 Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022 Generalizing off-policy learning under sample selection bias UAI 2022 IMO^3: Interactive Multi-Objective Off-Policy Optimization IJCAI 2022 Implicitly Regularized RL with Implicit Q-values AISTATS 2022 Interpretable Off-Policy Learning via Hyperbox Search ICML 2022 It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation ICLR 2022 Learning Expected Emphatic Traces for Deep RL AAAI 2022 Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning ICLR 2022 Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification NeurIPS 2022 Model Selection in Batch Policy Optimization ICML 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022 Off-Policy Reinforcement Learning with Delayed Rewards ICML 2022 On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022 On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NeurIPS 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration ICML 2022 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 Safe Optimal Design with Applications in Off-Policy Learning AISTATS 2022 Sequence Model Imitation Learning with Unobserved Contexts NeurIPS 2022 The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning NeurIPS 2022