Reinforcement Learning

DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning AAAI 2021 DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding AAAI 2021 Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems NeurIPS 2021 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021 Demonstration-Guided Reinforcement Learning with Learned Skills CoRL 2021 Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback AAAI 2021 Density Constrained Reinforcement Learning ICML 2021 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 2021 Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity NeurIPS 2021 Design of Experiments for Stochastic Contextual Linear Bandits NeurIPS 2021 Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021 DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video CoRL 2021 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 Differentiable Fluids with Solid Coupling for Learning and Control AAAI 2021 Dipper: A Dynamically Transitioning Aerial-Aquatic Unmanned Vehicle RSS 2021 Discovering and Achieving Goals via World Models NeurIPS 2021 Discovering a set of policies for the worst case reward ICLR 2021 Discovering Generalizable Skills via Automated Generation of Diverse Tasks RSS 2021 Discovering symbolic policies with deep reinforcement learning ICML 2021 Discovery of Options via Meta-Learned Subgoals NeurIPS 2021 Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching CVPR 2021 Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation CoRL 2021 Distributional Depth-Based Estimation of Object Articulation Models CoRL 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models NeurIPS 2021 Distributionally Robust Imitation Learning NeurIPS 2021