75 citations · 284 across the 16 of their papers we have counts for
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cs.LG2023
Generalization Across Observation Shifts in Reinforcement Learning
Anuj Mahajan, Amy Zhang
Learning policies which are robust to changes in the environment are critical for real world deployment of Reinforcement Learning agents. They are also necessary for achieving good…
cs.MA2023
marl-jax: Multi-Agent Reinforcement Leaning Framework
Kinal Mehta, Anuj Mahajan, Pawan Kumar
Recent advances in Reinforcement Learning (RL) have led to many exciting applications. These advancements have been driven by improvements in both algorithms and engineering, which…
cs.LG2023★ 1 cited
Trust-Region-Free Policy Optimization for Stochastic Policies
Mingfei Sun, Benjamin Ellis, Anuj Mahajan +3
Trust Region Policy Optimization (TRPO) is an iterative method that simultaneously maximizes a surrogate objective and enforces a trust region constraint over consecutive policies…