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METRIC-ORIENTED SPEECH ENHANCEMENT USING DIFFUSION PROBABILISTIC MODEL
Diffusion probabilistic model for speech enhancement -
Cliff-walking task
The dataset used in this paper is the Cliff-walking task, which is a simple grid-based environment. The dataset is used to evaluate the performance of the Self-correcting... -
Grid-world task
The dataset used in this paper is the Grid-world task, which is a simple grid-based environment. The dataset is used to evaluate the performance of the Self-correcting... -
Atari 2600 games
The dataset used in this paper is a collection of state-action pairs generated by a pre-trained RL agent, used to train a self-supervised interpretable network (SSINet) to... -
MaxDiff RL dataset
The dataset used in this paper is a collection of experiences of embodied agents in various environments, including a point mass, swimmer, and ant. The dataset is used to... -
Mujoco Benchmarking Continuous Control Tasks
The dataset used in the paper is the Mujoco benchmarking continuous control tasks. -
Mountain Car
The dataset used in the paper is a reinforcement learning dataset, specifically a Markov Decision Process (MDP) with a finite set of states and actions. -
Lunar Lander
The dataset used in this paper is a collection of data points from a lunar lander, which is used to test the proposed APG algorithm for task switching. -
Mountain Car, Acrobot, and Gridworld
The dataset used in the paper is a reinforcement learning dataset, specifically the Mountain Car and Acrobot problems, and a Gridworld problem. -
Scaling robot learning with semantically imagined experience
Scaling robot learning with semantically imagined experience. -
DDPG from Demonstrations
The dataset used in the paper is a set of demonstrations for a robot insertion task, which is a continuous control problem. The demonstrations are collected by a robot... -
Autonomous UAV Navigation Using Reinforcement Learning
Autonomous UAV Navigation Using Reinforcement Learning -
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage
Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage -
Dual Policy Distillation
The dataset used in the paper is a continuous control task dataset. -
Cellular-Connected UAV Path Design
The dataset used in this paper for cellular-connected UAV path design with reinforcement learning. -
Reinforcement Learning-based Control of Nonlinear Systems using Carleman Appr...
We develop data-driven reinforcement learning (RL) control designs for input-affine nonlinear systems. We use Carleman linearization to express the state-space representation of...
