Extrinsic rewards can effectively guide reinforcement learning (RL) agents in specific tasks.
However, extrinsic rewards frequently fall short in complex environments due to the …

Intrinsic reward shaping has emerged as a prevalent approach to solving hard-exploration
and sparse-rewards environments in reinforcement learning (RL). While single intrinsic …

In reinforcement learning, a reward function is used to guide the agent's behavior towards
task-specific objectives. However, such extrinsic rewards often fall short in complex …