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Methods

8,258 papers (12 classified directly here)

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Papers (including subtopics)

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning ICLR 2020 Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes RSS 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases COLING 2020 Knowledge Graph Grounded Goal Planning for Open-Domain Conversation Generation AAAI 2020 Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning EMNLP 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Lambda-Policy Iteration with Randomization for Contractive Models with Infinite Policies: Well-Posedness and Convergence L4DC 2020 Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion CoRL 2020 Learning a Decentralized Multi-Arm Motion Planner CoRL 2020 Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020 Learning Agent Communication under Limited Bandwidth by Message Pruning AAAI 2020 Learning Calibratable Policies using Programmatic Style-Consistency ICML 2020 Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning EMNLP 2020 Learning Dexterous Manipulation from Suboptimal Experts CoRL 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning Efficient Dialogue Policy from Demonstrations through Shaping ACL 2020 Learning Efficient Multi-agent Communication: An Information Bottleneck Approach ICML 2020 Learning Efficient Parameter Server Synchronization Policies for Distributed SGD ICLR 2020 Learning Expensive Coordination: An Event-Based Deep RL Approach ICLR 2020 Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Learning from Interventions: Human-robot interaction as both explicit and implicit feedback RSS 2020