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07/17/2023
Quarl: A Learning-Based Quantum Circuit Optimizer
Optimizing quantum circuits is challenging due to the very large search ...
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06/29/2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
The ever-growing complexity of reinforcement learning (RL) tasks demands...
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06/18/2023
Language-Guided Generation of Physically Realistic Robot Motion and Control
We aim to control a robot to physically behave in the real world followi...
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10/10/2022
FedBA: Non-IID Federated Learning Framework in UAV Networks
With the development and progress of science and technology, the Interne...
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03/02/2021
The Surprising Effectiveness of MAPPO in Cooperative, Multi-Agent Games
Proximal Policy Optimization (PPO) is a popular on-policy reinforcement ...
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03/30/2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-task learning is a very challenging problem in reinforcement learn...
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06/06/2018
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Despite the recent successes of probabilistic programming languages (PPL...
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06/07/2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
We explore deep reinforcement learning methods for multi-agent domains. ...
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02/09/2016
