Discovering hierarchical achievements in reinforcement learning via contrastive learning
Discovering achievements with a hierarchical structure in procedurally generated
environments presents a significant challenge. This requires an agent to possess a broad …
environments presents a significant challenge. This requires an agent to possess a broad …
Predictive auxiliary objectives in deep RL mimic learning in the brain
C Fang, KL Stachenfeld - arXiv preprint arXiv:2310.06089, 2023 - arxiv.org
The ability to predict upcoming events has been hypothesized to comprise a key aspect of
natural and machine cognition. This is supported by trends in deep reinforcement learning …
natural and machine cognition. This is supported by trends in deep reinforcement learning …
Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
Contemporary artificial intelligence systems exhibit rapidly growing abilities accompanied by
the growth of required resources, expansive datasets and corresponding investments into …
the growth of required resources, expansive datasets and corresponding investments into …
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Recent SOTA approaches for embodied learning via interaction directly employ large
language models (LLMs) as agents to determine the next steps in an environment. Due to …
language models (LLMs) as agents to determine the next steps in an environment. Due to …
Identifying transfer learning in the reshaping of inductive biases
Transfer learning, the reuse of newly acquired knowledge under novel circumstances, is a
critical hallmark of human intelligence that has frequently been pitted against the capacities …
critical hallmark of human intelligence that has frequently been pitted against the capacities …
Self-supervision for reinforcement learning
A Anand - 2024 - papyrus.bib.umontreal.ca
This thesis tries to build better Reinforcement Learning (RL) agents by leveraging self-
supervised learning. It is presented as a thesis by article that contains three pieces of work …
supervised learning. It is presented as a thesis by article that contains three pieces of work …
Biological Models of Prediction and Memory Formation in the Hippocampus
C Fang - 2024 - search.proquest.com
The hippocampus is a brain region known to support several cognitive functions. In
particular, it is necessary for the formation of episodic memories. These are memories of …
particular, it is necessary for the formation of episodic memories. These are memories of …