Deep RL

Discovery of Options via Meta-Learned Subgoals NeurIPS 2021 Distributionally Robust Imitation Learning NeurIPS 2021 Distributional Reinforcement Learning via Moment Matching AAAI 2021 Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration ICML 2021 Don’t Do What Doesn’t Matter: Intrinsic Motivation with Action Usefulness IJCAI 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021 Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality ICML 2021 DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation ICCV 2021 Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates NeurIPS 2021 Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search AAAI 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration NeurIPS 2021 EasyRL: A Simple and Extensible Reinforcement Learning Framework AAAI 2021 ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning EACL 2021 Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy EMNLP 2021 Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement EMNLP 2021 Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Emphatic Algorithms for Deep Reinforcement Learning ICML 2021 Encoding Human Domain Knowledge to Warm Start Reinforcement Learning AAAI 2021 End-to-End Egospheric Spatial Memory ICLR 2021 End-to-End Urban Driving by Imitating a Reinforcement Learning Coach ICCV 2021 Ensemble Bootstrapping for Q-Learning ICML 2021 Entropic Desired Dynamics for Intrinsic Control NeurIPS 2021 Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited ALT 2021