Akarsh Kumar

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 5

Top Topics

Physically Plausible

Expected Reward

Optimization Problems

Top Venues

Publications

Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. CoRR (2023)
Ryan Sullivan, Akarsh Kumar, Shengyi Huang, John P. Dickerson, Joseph Suarez
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks. NeurIPS (2023)
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
Effective Mutation Rate Adaptation through Group Elite Selection. CoRR (2022)
Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone
Effective mutation rate adaptation through group elite selection. GECCO (2022)
Akarsh Kumar, Aditya R. Vaidya, Alexander G. Huth
Physically Plausible Pose Refinement using Fully Differentiable Forces. CoRR (2021)