Our results show reinforcement learning outperforms imitation learning in most scenarios. However, the increased performance comes at the cost of reduced safety ...
In this work, we compare two leading methods for training neural network controllers, Reinforcement Learning and Imi- tation Learning, for the autonomous racing ...
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Duration: 5:40
Posted: Jan 19, 2022
Posted: Jan 19, 2022
Johnson, "Zero-Shot Policy Transfer in Autonomous Racing: Reinforcement Learning vs Imitation Learning", In 2022 IEEE International Conference on Assured ...
Oct 10, 2023 · We present an algorithm that learns to imitate expert behavior and can transfer to previously unseen domains without retraining.
Missing: Autonomous Racing:
Reinforcement Learning in Autonomous Racing - ResearchGate
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Oct 31, 2024 · Results show that both PPO and discrete MuZero achieve similar peak performance, while the latter does this with a much higher data-efficiency.
Imitation learning (IL), also referred to as learning from demonstrations, trains an agent to learn the policy by imitating the behavior of an expert. IL ...
Abstract—World models learn behaviors in a latent imag- ination space to enhance the sample-efficiency of deep re- inforcement learning (RL) algorithms.
We find that imitation learning yields agents that follow more risky paths. In contrast, the decisions of deep reinforcement learning are more foresighted, i.e. ...
This paper compares three deep learning architectures for F1Tenth autonomous racing: full planning, which replaces the global and local planner, trajectory ...