Reinforcement Learning

Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies NeurIPS 2020 Dream to Control: Learning Behaviors by Latent Imagination ICLR 2020 Dual Policy Distillation IJCAI 2020 Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020 Dynamic allocation of limited memory resources in reinforcement learning NeurIPS 2020 Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning EMNLP 2020 Dynamic Control of Stochastic Evolution: A Deep Reinforcement Learning Approach to Adaptively Targeting Emergent Drug Resistance JMLR 2020 Dynamic Face Video Segmentation via Reinforcement Learning CVPR 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints RSS 2020 Dynamic Regret of Policy Optimization in Non-Stationary Environments NeurIPS 2020 Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments AAAI 2020 EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints NeurIPS 2020 Effective Diversity in Population Based Reinforcement Learning NeurIPS 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Efficient Derivative Computation for Cumulative B-Splines on Lie Groups CVPR 2020 Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization NeurIPS 2020 Efficiently Solving MDPs with Stochastic Mirror Descent ICML 2020 Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning NeurIPS 2020 Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation ICML 2020 Efficient Planning in Large MDPs with Weak Linear Function Approximation NeurIPS 2020 Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020 Efficient Policy Learning from Surrogate-Loss Classification Reductions ICML 2020 Elaborating on Learned Demonstrations with Temporal Logic Specifications RSS 2020 Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design NeurIPS 2020