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01/11/2022
Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
During recent years, deep reinforcement learning (DRL) has made successf...
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10/13/2021
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
In this paper, we propose THOMAS, a joint multi-agent trajectory predict...
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09/04/2021
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation
In this paper, we propose GOHOME, a method leveraging graph representati...
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11/25/2019
