sample efficiency

Adversarially Guided Actor-Critic ICLR 2021 An Enhanced Advising Model in Teacher-Student Framework using State Categorization AAAI 2021 An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021 A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints AAAI 2021 Autonomous Reinforcement Learning via Subgoal Curricula NeurIPS 2021 Auxiliary Tasks for Efficient Learning of Point-Goal Navigation WACV 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Blending MPC & Value Function Approximation for Efficient Reinforcement Learning ICLR 2021 Cautious Bayesian Optimization for Efficient and Scalable Policy Search L4DC 2021 Characterizing the Gap Between Actor-Critic and Policy Gradient ICML 2021 CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 Clipping Loops for Sample-Efficient Dialogue Policy Optimisation NAACL 2021 Compressed Maximum Likelihood ICML 2021 Data-Efficient Reinforcement Learning for Malaria Control IJCAI 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation ICLR 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee NeurIPS 2021 Functional Regularization for Reinforcement Learning via Learned Fourier Features NeurIPS 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Generalized Proximal Policy Optimization with Sample Reuse NeurIPS 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021 "Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task Transfer CoRL 2021 Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions CoRL 2021