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cs.CL2021
Generalizing to New Domains by Mapping Natural Language to Lifted LTL
Eric Hsiung, Hiloni Mehta, Junchi Chu +4
Recent work on using natural language to specify commands to robots has grounded that language to LTL. However, mapping natural language task specifications to LTL task specificati…
cs.RO2021★ 1 cited
Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
Sreehari Rammohan, Shangqun Yu, Bowen He +4
Learning continuous control in high-dimensional sparse reward settings, such as robotic manipulation, is a challenging problem due to the number of samples often required to obtain…