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Found 8 papers, 4 papers with code
E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models
Given that real-world environments are inherently stochastic, initial plans based solely on LLMs' general knowledge may fail to achieve their objectives, unlike in static scenarios.
Observation of Aerosolization-induced Morphological Changes in Viral Capsids
Our results provide experimental evidence for a mechanism by which viral capsids protect themselves from dehydration.
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Moreover, we show that our method can retrain the agent to recover from OOD situations even when in-distribution states are difficult to visit through exploration.
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
We present a model and parameter setting to build a virtual environment for different display transfer robots, and training methods of reinforcement learning on the environment to obtain an optimal scheduling of glass flow control systems.
Megahertz X-ray Multi-projection imaging
X-ray time-resolved tomography is one of the most popular X-ray techniques to probe dynamics in three dimensions (3D).
Time Series Forecasting with Hypernetworks Generating Parameters in Advance
Forecasting future outcomes from recent time series data is not easy, especially when the future data are different from the past (i. e. time series are under temporal drifts).
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Applying reinforcement learning to autonomous driving entails particular challenges, primarily due to dynamically changing traffic flows.
Periodicity in Cryptocurrency Volatility and Liquidity
We study recurrent patterns in volatility and volume for major cryptocurrencies, Bitcoin and Ether, using data from two centralized exchanges (Coinbase Pro and Binance) and a decentralized exchange (Uniswap V2).
