Format README of jax bc agent.
# Behavioral Cloning (BC)
This folder contains an implementation for supervised learning of a policy from
-a dataset of observations and target actions.
-This is an approach of Imitation Learning known as Behavioral Cloning,
-introduced by [Pomerleau, 1989].
+a dataset of observations and target actions. This is an approach of Imitation
+Learning known as Behavioral Cloning, introduced by [Pomerleau, 1989].
Several losses are implemented:
* Mean squared error (mse)
* Cross entropy (logp)
- * Peer Behavioral Cloning (peerbc), a regularization scheme from [Wang et al., 2021]
- * Reward-regularized Classification for Apprenticeship Learning (rcal), another
-regularization scheme from [Piot et al., 2014], defined for discrete action
-environments (or discretized action-spaces in case of continuous control).
-
+* Peer Behavioral Cloning (peerbc), a regularization scheme from
+ [Wang et al., 2021]
+* Reward-regularized Classification for Apprenticeship Learning (rcal),
+ another regularization scheme from [Piot et al., 2014], defined for discrete
+ action environments (or discretized action-spaces in case of continuous
+ control).
[Pomerleau, 1989]: https://papers.nips.cc/paper/95-alvinn-an-autonomous-land-vehicle-in-a-neural-network.pdf
[Wang et al., 2021]: https://arxiv.org/pdf/2010.01748.pdf
