Real World Offline Reinforcement Learning with Realistic Data Source.
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2023)（2023）
Key words
270+ human labor hour,800+ robot hours,arbitrary pre-generated experience,closely related tasks,contrived datasets,current ORL benchmarks,leveraging offline heterogeneous data sources,online RL agents,ORL algorithms,outperform imitation learning,practical data sources,real-world robot learning,real-world robotics,real-world tabletop manipulation tasks,realistic data source,replay buffers,representative ORL methods,safe operations,sub-optimal trajectories,world offline reinforcement learning
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