May 25, 2023 · Such methods enable agents to learn complex tasks from humans that are difficult to capture with hand-designed reward functions. Choosing BC or ...
Feb 4, 2024 · This paper proposes an IL method Coherent Soft Imitation Learning (CSIL) which combines BC and IRL. CSIL first learns a reward function named “coherent reward” ...
Coherent soft imitation learning (CSIL, Algorithm 1) uses the BC policy to initialize the coherent reward and uses this reward to improve the policy further ...
In imitation learning, can we learn a reward for which the behavorial-cloned policy is optimal? Using entropy-regularized RL, the policy defines this reward ...
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May 30, 2024 · Imitation learning methods seek to learn from an expert either through behavioral cloning (BC) for the policy or inverse reinforcement ...
This repository contains an implementation of coherent soft imitation learning (CSIL), published at NeurIPS 2023. We also provide implementations of other 'soft ...
Imitation learning methods seek to learn from an expert either through behavioral cloning (BC) for the policy or inverse reinforcement learning (IRL) for ...
Dec 6, 2023 · Imitation learning methods seek to learn from an expert either through behavioral cloning (BC) of the policy or inverse reinforcement ...
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Nov 3, 2024 · Physical Intelligence just released the most impressive imitation learning result I've ever seen: ...