-

docs/ML-Agents-Overview.md

 
 ### Learning from Variable Length Observations using Attention
 
-Using the ML-Agents toolkit, it is possible to have agents learn from a
+Using the ML-Agents Toolkit, it is possible to have agents learn from a
 varying number of inputs. To do so, each agent can keep track of a buffer
 of vector observations. At each step, the agent will go through all the
 elements in the buffer and extract information but the elements
-about variable length observations and the BufferSensor 
+about variable length observations and the BufferSensor
 [here](Learning-Environment-Design-Agents.md#variable-length-observations)
 When variable length observations are utilized, the ML-Agents Toolkit
 leverages attention networks to learn from a varying number of entities.