System and method for multi-agent reinforcement learning in a multi-agent environment

A system for multi-agent reinforcement learning in a multi-agent environment, comprising:

• a memory storing instructions when executed by a processor cause the processor to:
• receive data associated with the multi-agent environment in which an ego agent and a target agent are traveling;
• learn a single agent policy that is based on the data associated with the multi-agent environment and that accounts for operation of at least one of:
• the ego agent and the target agent individually, wherein the single agent policy is determined according to an individual goal-specific reward function;
• learn a multi-agent policy that accounts for operation of the ego agent and the target agent with respect to one another within the multi-agent environment, wherein the multi-agent policy is determined according to a modification of the individual goal-specific reward function to a cooperative goal-specific reward function;
• and
• control at least one of:
• the ego agent and the target agent to operate within the multi-agent environment based on the multi-agent policy.

A non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method, the method comprising:

• receiving data associated with a multi-agent environment in which an ego agent and a target agent are traveling;
• learning a single agent policy that is based on the data associated with the multi-agent environment and that accounts for operation of at least one of:
• the ego agent and the target agent individually, wherein the single agent policy is determined according to an individual goal-specific reward function;
• learning a multi-agent policy that accounts for operation of the ego agent and the target agent with respect to one another within the multi-agent environment, wherein the multi-agent policy is determined according to a modification of the individual goal-specific reward function to a cooperative goal-specific reward function;
• and
• controlling at least one of:
• the ego agent and the target agent to operate within the multi-agent environment based on the multi-agent policy.