Anton Raichuk
Publications by Year
Research Areas
Reinforcement Learning in Robotics, Adversarial Robustness in Machine Learning, Explainable Artificial Intelligence (XAI), Topic Modeling, Natural Language Processing Techniques
Most-Cited Works
- → Episodic Curiosity through Reachability(2018)162 cited
- → What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study(2020)104 cited
- → Brax -- A Differentiable Physics Engine for Large Scale Rigid Body\n Simulation(2021)61 cited
- → Google Research Football: A Novel Reinforcement Learning Environment(2020)57 cited
- What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study(2021)
- → What Matters for Adversarial Imitation Learning?(2021)18 cited
- → Hyperparameter Selection for Imitation Learning(2021)7 cited
- → Agent-Centric Representations for Multi-Agent Reinforcement Learning(2021)7 cited