Reinforcement Learning

Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning CVPR 2021 Using Question Answering Rewards to Improve Abstractive Summarization EMNLP 2021 Variance Penalized On-Policy and Off-Policy Actor-Critic AAAI 2021 Variational Model-based Policy Optimization IJCAI 2021 Video Summarization via Label Distributions Dual-Reward IJCAI 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NeurIPS 2021 Waypoint Models for Instruction-Guided Navigation in Continuous Environments ICCV 2021 WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning AAAI 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence AISTATS 2021 Which Mutual-Information Representation Learning Objectives are Sufficient for Control? NeurIPS 2021 Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NeurIPS 2021 A Berry Picking Robot With A Hybrid Soft-Rigid Arm: Design and Task Space Control RSS 2020 Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Adaptive Estimator Selection for Off-Policy Evaluation ICML 2020 Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach AAAI 2020 Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020 Adaptive Trade-Offs in Off-Policy Learning AISTATS 2020 Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task EMNLP 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