Applications

Progress & Compress: A scalable framework for continual learning ICML 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018 Recurrent Predictive State Policy Networks ICML 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets CoRL 2018 Reinforcement Learning of Theorem Proving NeurIPS 2018 Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration ICLR 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion RSS 2018 Restricted Communication in Online Multi-Robot Exploration IJCAI 2018 [RETRACTED] Playing 20 Question Game with Policy-Based Reinforcement Learning EMNLP 2018 Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract) IJCAI 2018 Reward learning from human preferences and demonstrations in Atari NeurIPS 2018 Reward Learning From Narrated Demonstrations CVPR 2018 rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions NeurIPS 2018 RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018 ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation CoRL 2018 Robust Sampling Based Model Predictive Control with Sparse Objective Information RSS 2018 Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies RSS 2018 Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion NeurIPS 2018 Scalable Bilinear Pi Learning Using State and Action Features ICML 2018 Scalable Construction and Reasoning of Massive Knowledge Bases NAACL 2018 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation CoRL 2018 ScoutBot: A Dialogue System for Collaborative Navigation ACL 2018 Self-Adaptive Double Bootstrapped DDPG IJCAI 2018