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08/28/2023
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Offline reinforcement learning aims to utilize datasets of previously ga...
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02/21/2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Experience replay is crucial for off-policy reinforcement learning (RL) ...
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02/11/2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning
Value function factorization methods have become a dominant approach for...
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06/22/2022
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) has witnessed significant prog...
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01/27/2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
One of the biggest challenges in Federated Learning (FL) is that client ...
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01/04/2022
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients
Value function factorization via centralized training and decentralized ...
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11/23/2021