Reinforcement Learning

RoboNet: Large-Scale Multi-Robot Learning CoRL 2019 Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning RSS 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Safe Policy Improvement with Baseline Bootstrapping ICML 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NeurIPS 2019 Sample Efficient Imitation Learning for Continuous Control ICLR 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019 Sampling Networks and Aggregate Simulation for Online POMDP Planning NeurIPS 2019 Scalable Global Optimization via Local Bayesian Optimization NeurIPS 2019 Scale-free adaptive planning for deterministic dynamics & discounted rewards ICML 2019 Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks CVPR 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 2019 Search on the Replay Buffer: Bridging Planning and Reinforcement Learning NeurIPS 2019 Seeded self-play for language learning EMNLP 2019 Self-Critical N-Step Training for Image Captioning CVPR 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Self-Supervised Exploration via Disagreement ICML 2019 Self-Supervised Mixture-of-Experts by Uncertainty Estimation AAAI 2019 Semi-Parametric Efficient Policy Learning with Continuous Actions NeurIPS 2019 Separating value functions across time-scales ICML 2019 Sequence Labeling Parsing by Learning across Representations ACL 2019