Methods

Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games ICLR 2020 Actor-Double-Critic: Incorporating Model-Based Critic for Task-Oriented Dialogue Systems EMNLP 2020 Adapting to Misspecification in Contextual Bandits NeurIPS 2020 Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation ICLR 2020 Adaptive Discretization for Model-Based Reinforcement Learning NeurIPS 2020 Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning ICML 2020 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Smoothing for Path Integral Control JMLR 2020 Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 Adaptive Trust Region Policy Optimization: Global Convergence and Faster Rates for Regularized MDPs AAAI 2020 A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards ACL 2020 A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020 A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms AISTATS 2020 A Duality Approach for Regret Minimization in Average-Award Ergodic Markov Decision Processes L4DC 2020 Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization NeurIPS 2020 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NeurIPS 2020 A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning NeurIPS 2020 A Game Theoretic Framework for Model Based Reinforcement Learning ICML 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020 A Generalized Training Approach for Multiagent Learning ICLR 2020 Agent57: Outperforming the Atari Human Benchmark ICML 2020 Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity NeurIPS 2020