Selective Perception: Optimizing State Descriptions with Reinforcement Learning for Language Model Actors

no code implementations • 21 Jul 2023 • Kolby Nottingham, Yasaman Razeghi, KyungMin Kim, JB Lanier, Pierre Baldi, Roy Fox, Sameer Singh

Large language models (LLMs) are being applied as actors for sequential decision making tasks in domains such as robotics and games, utilizing their general world knowledge and planning abilities.

Decision Making Language Modelling +2

Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments

no code implementations • 19 Jul 2022 • JB Lanier, Stephen Mcaleer, Pierre Baldi, Roy Fox

In this paper, we propose Feasible Adversarial Robust RL (FARR), a novel problem formulation and objective for automatically determining the set of environment parameter values over which to be robust.

reinforcement-learning Reinforcement Learning (RL)

Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games

no code implementations • 13 Jul 2022 • Stephen Mcaleer, JB Lanier, Kevin Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm

Instead of adding only deterministic best responses to the opponent's least exploitable population mixture, SP-PSRO also learns an approximately optimal stochastic policy and adds it to the population as well.

Reinforcement Learning (RL)