Reinforcement Learning

Predictive Coding for Locally-Linear Control ICML 2020 Predictive Information Accelerates Learning in RL NeurIPS 2020 Preference-based Reinforcement Learning with Finite-Time Guarantees NeurIPS 2020 Private Reinforcement Learning with PAC and Regret Guarantees ICML 2020 Probably Approximately Correct Vision-Based Planning using Motion Primitives CoRL 2020 Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020 Progressive Relation Learning for Group Activity Recognition CVPR 2020 Projection-Based Constrained Policy Optimization ICLR 2020 Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NeurIPS 2020 Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method NeurIPS 2020 Prototypical Q Networks for Automatic Conversational Diagnosis and Few-Shot New Disease Adaption Interspeech 2020 Provable Self-Play Algorithms for Competitive Reinforcement Learning ICML 2020 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Provably Efficient Exploration in Policy Optimization ICML 2020 Provably Efficient Neural GTD for Off-Policy Learning NeurIPS 2020 Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits NeurIPS 2020 Provably efficient reinforcement learning with linear function approximation COLT 2020 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NeurIPS 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 2020 Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020 Q-learning with Language Model for Edit-based Unsupervised Summarization EMNLP 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 Querying to Find a Safe Policy under Uncertain Safety Constraints in Markov Decision Processes AAAI 2020