Methods

DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs ICLR 2021 Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks NeurIPS 2021 Deep Bayesian Quadrature Policy Optimization AAAI 2021 Deep Coherent Exploration for Continuous Control ICML 2021 Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures AAAI 2021 Deep Radial-Basis Value Functions for Continuous Control AAAI 2021 Deep Reinforcement Learning amidst Continual Structured Non-Stationarity ICML 2021 Deep Reinforcement Learning at the Edge of the Statistical Precipice NeurIPS 2021 Deep Reinforcement Learning Boosted Partial Domain Adaptation IJCAI 2021 Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 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 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 Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 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 DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021 Discovering and Achieving Goals via World Models NeurIPS 2021