Chi Zhang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 20

Top Topics

High Throughput

Reinforcement Learning

Maximum Entropy

Convolutional Neural Networks

Top Venues

Publications

Chi Zhang, Yuan Meng, Viktor K. Prasanna
A Framework for Mapping DRL Algorithms With Prioritized Replay Buffer Onto Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 34 (6) (2023)
Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari
Intelligent Communication over Realistic Wireless Networks in Multi-Agent Cooperative Games. AAMAS (2022)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
Safe Building HVAC Control via Batch Reinforcement Learning. IEEE Trans. Sustain. Comput. 7 (4) (2022)
Yuan Meng, Chi Zhang, Viktor K. Prasanna
FPGA acceleration of deep reinforcement learning using on-chip replay management. CF (2022)
Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Diyi Hu, Chi Zhang, Viktor K. Prasanna, Bhaskar Krishnamachari
Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning. ACML (2022)
Chi Zhang, Sanmukh R. Kuppannagari, Viktor K. Prasanna
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. ACML (2021)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning. CoRR (2021)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations. CoRR (2021)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations. HiPC (2021)
Chi Zhang, Sanmukh Rao Kuppannagari, Viktor K. Prasanna
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors. CoRR (2020)
Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. BuildSys@SenSys (2019)
Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation. CoRR (2019)
Chi Zhang, Sanmukh R. Kuppannagari, Chuanxiu Xiong, Rajgopal Kannan, Viktor K. Prasanna
A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. IoTDI (2019)
Chi Zhang, Sanmukh R. Kuppannagari, Rajgopal Kannan, Viktor K. Prasanna
Generative Adversarial Network for Synthetic Time Series Data Generation in Smart Grids. SmartGridComm (2018)
Hanqing Zeng, Ren Chen, Chi Zhang, Viktor K. Prasanna
A Framework for Generating High Throughput CNN Implementations on FPGAs. FPGA (2018)
Hanqing Zeng, Chi Zhang, Viktor K. Prasanna
Fast generation of high throughput customized deep learning accelerators on FPGAs. ReConFig (2017)
Abhinav Podili, Chi Zhang, Viktor K. Prasanna
Fast and efficient implementation of Convolutional Neural Networks on FPGA. ASAP (2017)
Chi Zhang, Viktor K. Prasanna
Frequency Domain Acceleration of Convolutional Neural Networks on CPU-FPGA Shared Memory System. FPGA (2017)
Chi Zhang, Ren Chen, Viktor K. Prasanna
High Throughput Large Scale Sorting on a CPU-FPGA Heterogeneous Platform. IPDPS Workshops (2016)