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20132023
most citedVariational Policy Gradient Method for Reinforcement Learning with General Utilities

37 citations · 183 across the 28 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

math.OC2021

Primal-Dual First-Order Methods for Affinely Constrained Multi-Block Saddle Point Problems

Junyu Zhang, Mengdi Wang, Mingyi Hong +1

We consider the convex-concave saddle point problem , where the decision variables and/or subj…

stat.ML2021★ 5 cited

MARL with General Utilities via Decentralized Shadow Reward Actor-Critic

Junyu Zhang, Amrit Singh Bedi, Mengdi Wang +1

We posit a new mechanism for cooperation in multi-agent reinforcement learning (MARL) based upon any nonlinear function of the team's long-term state-action occupancy measure, i.e.…

cs.LG2021★ 1 cited

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control

Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang +2

Reinforcement learning is a framework for interactive decision-making with incentives sequentially revealed across time without a system dynamics model. Due to its scaling to conti…

math.OC2021★ 1 cited

Zero-sum risk-sensitive continuous-time stochastic games with unbounded payoff and transition rates and Borel spaces

Junyu Zhang, Xianping Guo, Li Xia

We study a finite-horizon two-person zero-sum risk-sensitive stochastic game for continuous-time Markov chains and Borel state and action spaces, in which payoff rates, transition…

cs.LG2021★ 18 cited

On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method

Junyu Zhang, Chengzhuo Ni, Zheng Yu +2

Policy gradient (PG) gives rise to a rich class of reinforcement learning (RL) methods. Recently, there has been an emerging trend to accelerate the existing PG methods such as REI…