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Found 4 papers, 0 papers with code
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Offline reinforcement learning has emerged as a promising technology by enhancing its practicality through the use of pre-collected large datasets.
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
This problem can be solved by control theory, which allows us to find the optimal actions for a given system dynamics and objective function.
Learning to Activate Relay Nodes: Deep Reinforcement Learning Approach
We consider scenarios where only a limited networking infrastructure is available but a large number of wireless mobile relay nodes are deployed in building a multi-hop ad hoc network to deliver source data to the destination.
Network Coding Based Evolutionary Network Formation for Dynamic Wireless Networks
In this paper, we aim to find a robust network formation strategy that can adaptively evolve the network topology against network dynamics in a distributed manner.
