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Deep RL

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Papers

Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 POMDPs in Continuous Time and Discrete Spaces NeurIPS 2020 Population-Guided Parallel Policy Search for Reinforcement Learning ICLR 2020 Positive-Unlabeled Reward Learning CoRL 2020 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020 Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot L4DC 2020 Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning CVPR 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control ICML 2020 Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions OSDI 2020 Predictive Information Accelerates Learning in RL NeurIPS 2020 Production-based Cognitive Models as a Test Suite for Reinforcement Learning Algorithms EMNLP 2020 Progressive Relation Learning for Group Activity Recognition CVPR 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 Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation ICML 2020 Provably efficient reinforcement learning with linear function approximation COLT 2020 Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration NeurIPS 2020 Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract) AAAI 2020 Proximal Distilled Evolutionary Reinforcement Learning AAAI 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 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering ICLR 2020