sample efficiency

Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning ICLR 2019 DOM-Q-NET: Grounded RL on Structured Language ICLR 2019 Explicit Explore-Exploit Algorithms in Continuous State Spaces NeurIPS 2019 Exploring the Task Cooperation in Multi-goal Visual Navigation IJCAI 2019 Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NeurIPS 2019 Generative predecessor models for sample-efficient imitation learning ICLR 2019 Hindsight policy gradients ICLR 2019 Importance Resampling for Off-policy Prediction NeurIPS 2019 Learning to Walk Via Deep Reinforcement Learning RSS 2019 LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning IJCAI 2019 Maximum Entropy Monte-Carlo Planning NeurIPS 2019 MineRL: A Large-Scale Dataset of Minecraft Demonstrations IJCAI 2019 PHYRE: A New Benchmark for Physical Reasoning NeurIPS 2019 PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CoRL 2019 ProMP: Proximal Meta-Policy Search ICLR 2019 Provably Efficient Imitation Learning from Observation Alone ICML 2019 Quasi-Newton Trust Region Policy Optimization CoRL 2019 Random Projection in Neural Episodic Control ACML 2019 Recall Traces: Backtracking Models for Efficient Reinforcement Learning ICLR 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Regularizing Trajectory Optimization with Denoising Autoencoders NeurIPS 2019 Reinforcement Learning Experience Reuse with Policy Residual Representation IJCAI 2019 Safe and Sample-Efficient Reinforcement Learning Algorithms for Factored Environments IJCAI 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019