conftrace_

policy learning

702 papers

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Co-occurring keywords

reinforcement learning (4352) imitation learning (744) deep reinforcement learning (903) offline reinforcement learning (492) policy optimization (657) reward function (291) multi-agent system (1819) inverse reinforcement learning (205) markov decision process (790) robot manipulation (262)

Papers

Tractable Reinforcement Learning of Signal Temporal Logic Objectives L4DC 2020
Forethought and Hindsight in Credit Assignment NIPS 2020
An Imitation Learning Approach for Cache Replacement ICML 2020
Simultaneous Translation EMNLP 2020
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards ICML 2020
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning AAAI 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019
Sharing Experience in Multitask Reinforcement Learning IJCAI 2019
Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos AAAI 2019
Imitation Learning from Observation AAAI 2019
Interactive Teaching Algorithms for Inverse Reinforcement Learning IJCAI 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019
Hierarchical Text Classification with Reinforced Label Assignment EMNLP 2019
Augmenting Markov Decision Processes with Advising AAAI 2019
Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
Surrogate Objectives for Batch Policy Optimization in One-step Decision Making NIPS 2019
Causal Confusion in Imitation Learning NIPS 2019
Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience AAAI 2019
Learning Action Representations for Reinforcement Learning ICML 2019
Modeling Multi-Action Policy for Task-Oriented Dialogues EMNLP 2019
Imitating Latent Policies from Observation ICML 2019
Policy Continuation with Hindsight Inverse Dynamics NIPS 2019
Compiler Auto-Vectorization with Imitation Learning NIPS 2019
Offline Contextual Bandits with High Probability Fairness Guarantees NIPS 2019