TextWorld
PulseAugur coverage of TextWorld — every cluster mentioning TextWorld across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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MemPlan integrates LLMs with symbolic planning for text environments
Researchers have developed MemPlan, a novel planning framework that integrates Large Language Models (LLMs) with symbolic planning for text-based environments. This system uses memory-conditioned PDDL planning to overco…
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New CB-Agent method enhances LLM sequential action selection
Researchers have developed CB-Agent, a novel approach to in-context learning for sequential action selection in large language models. This method focuses on learning a reusable scoring rule from expert trajectories, ra…
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New BehR method improves text-based world models for agent behavior
Researchers have introduced a new training paradigm called Behavior Consistency Reward (BehR) to improve text-based world models. Unlike traditional methods that focus on single-step state prediction, BehR optimizes for…
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New method improves representation quality in text-based world models
Researchers have developed a method to enforce strict latent state mediation in text-based reinforcement learning environments, addressing challenges posed by discrete and non-differentiable textual states. This approac…