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Showing 1 to 3 of 3 for “"Actor-critic Methods"”.
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Zero-shot learning to execute tasks with robots
… Second, we explore the use of more powerful actor-critic methods, augmented with hindsight experience replay (HER). We determine that approaches requiring low-dimensional representations of the environment, such as HER, will not scale gracefully to handle more complex environments. Finally, …
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Achieving Robustness and Generalization in MARL for Sequential Social Dilemmas through Bilinear Value Networks
… also help alleviate the issue in conventional actor-critic methods that tend to converge to suboptimal Nash equilibria in SSD games. However, agents trained through self-play typically converge and overfit to a singular Nash equilibrium. Consequently, these agents are limited to executing the …
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Multi-agent reinforcement learning: A mean-field perspective
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms