Methods

Reinforcement Learning under Threats AAAI 2019 Remember and Forget for Experience Replay ICML 2019 Representation Learning on Graphs: A Reinforcement Learning Application AISTATS 2019 Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models NAACL 2019 Revisiting the Softmax Bellman Operator: New Benefits and New Perspective ICML 2019 Reward Constrained Policy Optimization ICLR 2019 Rewarding Coreference Resolvers for Being Consistent with World Knowledge EMNLP 2019 Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning ACL 2019 Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation IJCAI 2019 Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019 RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion CVPR 2019 RLTM: An Efficient Neural IR Framework for Long Documents IJCAI 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient AAAI 2019 RUDDER: Return Decomposition for Delayed Rewards NeurIPS 2019 Safe Policy Improvement with Baseline Bootstrapping ICML 2019 Safe Policy Improvement with Baseline Bootstrapping in Factored Environments AAAI 2019 Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update NeurIPS 2019 Sample Efficient Imitation Learning for Continuous Control ICLR 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019 Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks CVPR 2019 SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning AAAI 2019 Search on the Replay Buffer: Bridging Planning and Reinforcement Learning NeurIPS 2019 Seeded self-play for language learning EMNLP 2019