Published:
The paper presents new methods for imitation and reinforcement learning that leverage cost-to-go information within an interactive no-regret learning framework. Key contributions include the AGGREVATE algorithm for imitation learning and a related algorithm for reinforcement learning, both offering strong theoretical guarantees.
Published:
A well-structured PhD proposal is the first step toward a successful research journey. Dr. Qais Faryadi’s “How to Write Your PhD Proposal” outlines a methodical approach to crafting proposals that stand up to academic scrutiny. Here’s an in-depth look at the essential steps and tips highlighted by Dr. Faryadi.
Published:
The paper presents new methods for imitation and reinforcement learning that leverage cost-to-go information within an interactive no-regret learning framework. Key contributions include the AGGREVATE algorithm for imitation learning and a related algorithm for reinforcement learning, both offering strong theoretical guarantees.
Published:
The paper presents new methods for imitation and reinforcement learning that leverage cost-to-go information within an interactive no-regret learning framework. Key contributions include the AGGREVATE algorithm for imitation learning and a related algorithm for reinforcement learning, both offering strong theoretical guarantees.
Published:
The paper presents new methods for imitation and reinforcement learning that leverage cost-to-go information within an interactive no-regret learning framework. Key contributions include the AGGREVATE algorithm for imitation learning and a related algorithm for reinforcement learning, both offering strong theoretical guarantees.
Published:
A well-structured PhD proposal is the first step toward a successful research journey. Dr. Qais Faryadi’s “How to Write Your PhD Proposal” outlines a methodical approach to crafting proposals that stand up to academic scrutiny. Here’s an in-depth look at the essential steps and tips highlighted by Dr. Faryadi.