Applications

Data-efficient Hindsight Off-policy Option Learning ICML 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 Decentralized Control of Quadrotor Swarms with End-to-end Deep Reinforcement Learning CoRL 2021 Deep Coherent Exploration for Continuous Control ICML 2021 Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots IJCAI 2021 Deep Reinforcement Learning for Navigation in AAA Video Games IJCAI 2021 Deep Reinforcement Learning with Hierarchical Structures IJCAI 2021 Deep Residual Reinforcement Learning (Extended Abstract) IJCAI 2021 Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess NeurIPS 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 Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization ICLR 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 Generalizable Skills via Automated Generation of Diverse Tasks RSS 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 Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation AAAI 2021