Gautham Vasan

4 papers · 2018–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver

Venues

CoRL (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

A. Rupam Mahmood (4) Dmytro Korenkevych (2) James Bergstra (2) Colin Bellinger (1) Jiamin He (1) William Ma (1) Fahim Shariar (1) Martha White (1) Alireza Azimi (1) Fengdi Che (1)

Research topics

Reinforcement Learning (4) Methods (4) Machine Learning (3) Optimization & Theory (3) Applications (2) Artificial Intelligence (1) Robotics (1) Capabilities (1) Core AI (1)

Keywords

continuous control (2) policy gradient (2) sample efficiency (1) online learning (1) robotic manipulation (1) incremental learning (1) discount factor (1) variance reduction (1) stochastic process (1) action value (1) incremental deep policy gradient (1) replay buffer (1) robotic manipulator (1) mobile robot (1) batch policy gradient (1) on-policy learning (1) autoregressive policy (1) robotic hardware (1) real-world robotics (1) hyperparameter sensitivity (1)

Papers

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NeurIPS 2024 Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Benchmarking Reinforcement Learning Algorithms on Real-World Robots CoRL 2018