Search Results - Riemer, Matthew

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  1. 1
    Towards Continual Reinforcement Learning: A Review and Perspectives

    Towards Continual Reinforcement Learning: A Review and Perspectives by Khetarpal, Khimya, Riemer, Matthew, Rish, Irina, Precup, Doina

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  2. 2
    Learning to Teach in Cooperative Multiagent Reinforcement Learning

    Learning to Teach in Cooperative Multiagent Reinforcement Learning by Omidshafiei, Shayegan, Kim, Dong-Ki, Liu, Miao, Tesauro, Gerald, Riemer, Matthew, Amato, Christopher, Campbell, Murray, How, Jonathan P.

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  3. 3
    Scalable Recollections for Continual Lifelong Learning

    Scalable Recollections for Continual Lifelong Learning by Riemer, Matthew, Klinger, Tim, Bouneffouf, Djallel, Franceschini, Michele

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  4. 4
    On the Role of Weight Sharing During Deep Option Learning

    On the Role of Weight Sharing During Deep Option Learning by Riemer, Matthew, Cases, Ignacio, Rosenbaum, Clemens, Liu, Miao, Tesauro, Gerald

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  5. 5
    Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract)

    Hierarchical Average Reward Policy Gradient Algorithms (Student Abstract) by Dharmavaram, Akshay, Riemer, Matthew, Bhatnagar, Shalabh

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  6. 6
    Context-Specific Representation Abstraction for Deep Option Learning

    Context-Specific Representation Abstraction for Deep Option Learning by Abdulhai, Marwa, Kim, Dong-Ki, Riemer, Matthew, Liu, Miao, Tesauro, Gerald, How, Jonathan P.

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  7. 7
    Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference

    Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference by Riemer, Matthew, Subbaraj, Gopeshh, Berseth, Glen, Rish, Irina

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  8. 8
    Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games

    Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games by Malloy, Tyler, Sims, Chris R., Klinger, Tim, Liu, Miao, Riemer, Matthew, Tesauro, Gerald

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  9. 9
    RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)

    RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract) by Malloy, Tyler, Klinger, Tim, Liu, Miao, Tesauro, Gerald, Riemer, Matthew, Sims, Chris R.

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  10. 10
    Towards Continual Reinforcement Learning: A Review and Perspectives

    Towards Continual Reinforcement Learning: A Review and Perspectives by Khetarpal, Khimya, Riemer, Matthew, Rish, Irina, Precup, Doina

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  11. 11
    A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques

    A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques by Thakkar, Megh, Fournier, Quentin, Riemer, Matthew D, Pin-Yu, Chen, Zouaq, Amal, Das, Payel, Chandar, Sarath

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  12. 12
    Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs

    Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMs by Thakkar, Megh, More, Yash, Fournier, Quentin, Riemer, Matthew, Pin-Yu, Chen, Zouaq, Amal, Das, Payel, Chandar, Sarath

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  13. 13
    Coagent Networks Revisited

    Coagent Networks Revisited by Modjtaba Shokrian Zini, Pedramfar, Mohammad, Riemer, Matthew, Moradipari, Ahmadreza, Liu, Miao

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  14. 14
    Learning Abstract Options

    Learning Abstract Options by Riemer, Matthew, Liu, Miao, Tesauro, Gerald

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  15. 15
    Hierarchical Average Reward Policy Gradient Algorithms

    Hierarchical Average Reward Policy Gradient Algorithms by Dharmavaram, Akshay, Riemer, Matthew, Bhatnagar, Shalabh

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  16. 16
    Learning in Factored Domains with Information-Constrained Visual Representations

    Learning in Factored Domains with Information-Constrained Visual Representations by Malloy, Tyler, Liu, Miao, Riemer, Matthew D, Klinger, Tim, Tesauro, Gerald, Sims, Chris R

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  17. 17
    Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria

    Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria by Dong-Ki, Kim, Riemer, Matthew, Liu, Miao, Foerster, Jakob N, Tesauro, Gerald, How, Jonathan P

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  18. 18
    Continual Learning In Environments With Polynomial Mixing Times

    Continual Learning In Environments With Polynomial Mixing Times by Riemer, Matthew, Raparthy, Sharath Chandra, Cases, Ignacio, Subbaraj, Gopeshh, Touzel, Maximilian Puelma, Rish, Irina

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  19. 19
    Contextual Moral Value Alignment Through Context-Based Aggregation

    Contextual Moral Value Alignment Through Context-Based Aggregation by Dognin, Pierre, Rios, Jesus, Luss, Ronny, Padhi, Inkit, Riemer, Matthew D, Liu, Miao, Sattigeri, Prasanna, Nagireddy, Manish, Varshney, Kush R, Bouneffouf, Djallel

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  20. 20
    Context-Specific Representation Abstraction for Deep Option Learning

    Context-Specific Representation Abstraction for Deep Option Learning by Abdulhai, Marwa, Dong-Ki, Kim, Riemer, Matthew, Liu, Miao, Tesauro, Gerald, How, Jonathan P

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