Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sreenivas, Dhruv"'
Adversarial imitation learning (AIL) has stood out as a dominant framework across various imitation learning (IL) applications, with Discriminator Actor Critic (DAC) (Kostrikov et al.,, 2019) demonstrating the effectiveness of off-policy learning alg
Externí odkaz:
http://arxiv.org/abs/2404.08513
Estimating the effect of intervention from observational data while accounting for confounding variables is a key task in causal inference. Oftentimes, the confounders are unobserved, but we have access to large amounts of additional unstructured dat
Externí odkaz:
http://arxiv.org/abs/2203.09672
This paper studies offline Imitation Learning (IL) where an agent learns to imitate an expert demonstrator without additional online environment interactions. Instead, the learner is presented with a static offline dataset of state-action-next state
Externí odkaz:
http://arxiv.org/abs/2106.03207