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Deep RL

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Papers

Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes AAAI 2020
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation AAAI 2020
Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition NIPS 2020
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning NIPS 2020
Non-Crossing Quantile Regression for Distributional Reinforcement Learning NIPS 2020
Reinforcement Learning with Feedback Graphs NIPS 2020
Zap Q-Learning With Nonlinear Function Approximation NIPS 2020
High-Throughput Synchronous Deep RL NIPS 2020
Cooperative Heterogeneous Deep Reinforcement Learning NIPS 2020
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NIPS 2020
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NIPS 2020
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making NIPS 2020
The Mean-Squared Error of Double Q-Learning NIPS 2020
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction NIPS 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NIPS 2020
A Unifying View of Optimism in Episodic Reinforcement Learning NIPS 2020
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports ACL 2020
Learning Guidance Rewards with Trajectory-space Smoothing NIPS 2020
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards ACL 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion CORL 2020
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays CORL 2020
Sample-efficient Cross-Entropy Method for Real-time Planning CORL 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs NIPS 2020
Learning Retrospective Knowledge with Reverse Reinforcement Learning NIPS 2020