AI Startup Morphic to Produce Anime Series ‘Dqn,’ Launches $1 Million Creator Fund for Emerging F...

AI Startup Morphic to Produce Anime Series ‘Dqn,’ Launches $1 Million Creator Fund for Emerging Filmmakers (Exclusive)  IMDb

Morphic Launches AI Anime ‘DQN’ & $1 Million AI Filmmaker Fund - Animation Magazine

Morphic Launches AI Anime ‘DQN’ & $1 Million AI Filmmaker Fund  Animation Magazine

Morphic to Produce AI Anime Series, Launches $1 Million Creator Fund - Variety

Morphic to Produce AI Anime Series, Launches $1 Million Creator Fund  Variety

Morphic Launches Trailer For DQN - Bubbleblabber

Morphic Launches Trailer For DQN  Bubbleblabber

Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled wit...

Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions  Nature

Rainbow: The Colorful Evolution of Deep Q-Networks 🌈 - Towards Data Science

Rainbow: The Colorful Evolution of Deep Q-Networks 🌈  Towards Data Science

Fig. 5. In RL, the DQN and DDPG architectures accept same state... - ResearchGate

Fig. 5. In RL, the DQN and DDPG architectures accept same state...  ResearchGate

Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning - F...

Noisy Dueling Double Deep Q-Network algorithm for autonomous underwater vehicle path planning  Frontiers

Deep Reinforcement Learning for Stock Prediction - Zhang - 2022 - Scientific Programming - Wiley ...

Deep Reinforcement Learning for Stock Prediction - Zhang - 2022 - Scientific Programming  Wiley Online Library

FIGURE 6. Comparison of the performance reward of Nature DQN, DDQN-PER,... - ResearchGate

FIGURE 6. Comparison of the performance reward of Nature DQN, DDQN-PER,...  ResearchGate

Neural network compression for reinforcement learning tasks - Nature

Neural network compression for reinforcement learning tasks  Nature

A DOD-SOH balancing control method for dynamic reconfigurable battery systems based on DQN algori...

A DOD-SOH balancing control method for dynamic reconfigurable battery systems based on DQN algorithm  Frontiers

Figure 3. Illustration of the Deep Q Network (DQN) based RL approach... - ResearchGate

Figure 3. Illustration of the Deep Q Network (DQN) based RL approach...  ResearchGate

Application of artificial intelligence based on state grid ESG platform in clean energy schedulin...

Application of artificial intelligence based on state grid ESG platform in clean energy scheduling optimization  Nature

Research on the multi-timescale optimal voltage control method for distribution network based on ...

Research on the multi-timescale optimal voltage control method for distribution network based on a DQN-DDPG algorithm  Frontiers

Recurrent Neural Network (RNN) variants. - ResearchGate

Recurrent Neural Network (RNN) variants.  ResearchGate

A reinforcement learning approach for reducing traffic congestion using deep Q learning | Scienti...

A reinforcement learning approach for reducing traffic congestion using deep Q learning | Scientific Reports  Nature

Distributed reinforcement learning of the Ape‐X DQN - ResearchGate

Distributed reinforcement learning of the Ape‐X DQN  ResearchGate

Fig. 4. Reconfiguration planning based on DQN. - ResearchGate

Fig. 4. Reconfiguration planning based on DQN.  ResearchGate

Makespan Optimisation in Cloudlet Scheduling with Improved DQN Algorithm in Cloud Computing - Wil...

Makespan Optimisation in Cloudlet Scheduling with Improved DQN Algorithm in Cloud Computing  Wiley Online Library

Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management - N...

Comparative analysis of Q-learning, SARSA, and deep Q-network for microgrid energy management  Nature

Koopman Operator–Based Knowledge-Guided Reinforcement Learning for Safe Human–Robot Interaction -...

Koopman Operator–Based Knowledge-Guided Reinforcement Learning for Safe Human–Robot Interaction  Frontiers

A timeline of major milestones and breakthroughs in reinforcement... - ResearchGate

A timeline of major milestones and breakthroughs in reinforcement...  ResearchGate

Optimization and analysis of distributed power carrying capacity of distribution network based on...

Optimization and analysis of distributed power carrying capacity of distribution network based on DR-DQN  Frontiers

RRT-guided experience generation for reinforcement learning in autonomous lane keeping - Nature

RRT-guided experience generation for reinforcement learning in autonomous lane keeping  Nature

Human-level control through deep reinforcement learning - Nature

Human-level control through deep reinforcement learning  Nature

Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN...

Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN  Nature

Pursuit and Evasion Strategy of a Differential Game Based on Deep Reinforcement Learning - Frontiers

Pursuit and Evasion Strategy of a Differential Game Based on Deep Reinforcement Learning  Frontiers

10 GitHub Repositories to Master Reinforcement Learning - KDnuggets

10 GitHub Repositories to Master Reinforcement Learning  KDnuggets

Fig. 1: The training strategy of the DDQN algorithm [14]. - ResearchGate

Fig. 1: The training strategy of the DDQN algorithm [14].  ResearchGate

Figure 8. The training results of the deep reinforcement learning (DRL)... - ResearchGate

Figure 8. The training results of the deep reinforcement learning (DRL)...  ResearchGate

Figure 1. Overall flowchart of the Dueling-DQN-based routing algorithm. - ResearchGate

Figure 1. Overall flowchart of the Dueling-DQN-based routing algorithm.  ResearchGate

OpenAI Baselines: DQN - OpenAI

OpenAI Baselines: DQN  OpenAI

Rainbow DQN – The Best Reinforcement Learning Has to Offer? - Towards Data Science

Rainbow DQN – The Best Reinforcement Learning Has to Offer?  Towards Data Science

Deep Q-Network (DQN)-II - Towards Data Science

Deep Q-Network (DQN)-II  Towards Data Science

Stock Trading Strategies Based on Deep Reinforcement Learning - Li - 2022 - Scientific Programmin...

Stock Trading Strategies Based on Deep Reinforcement Learning - Li - 2022 - Scientific Programming  Wiley Online Library

Multi-level deep Q-networks for Bitcoin trading strategies - Nature

Multi-level deep Q-networks for Bitcoin trading strategies  Nature

(PDF) Improved DQN Algorithm for Path Planning of Autonomous Mobile Robots - ResearchGate

(PDF) Improved DQN Algorithm for Path Planning of Autonomous Mobile Robots  ResearchGate

Optimizing Traffic at Intersections With Deep Reinforcement Learning - Boyko - 2024 - Journal of ...

Optimizing Traffic at Intersections With Deep Reinforcement Learning - Boyko - 2024 - Journal of Engineering  Wiley Online Library

Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learnin...

Dynamic scheduling for flexible job shop based on MachineRank algorithm and reinforcement learning  Nature

Fig. 4 Difference between Q-Learning and DQN - ResearchGate

Fig. 4 Difference between Q-Learning and DQN  ResearchGate

Deep Reinforcement Learning - Google DeepMind

Deep Reinforcement Learning  Google DeepMind

Fig. 7. The Snake Game -Training of Deep Q-Learning Network. - ResearchGate

Fig. 7. The Snake Game -Training of Deep Q-Learning Network.  ResearchGate

Deep Q-Networks: theory and implementation - Towards Data Science

Deep Q-Networks: theory and implementation  Towards Data Science

An Optimistic Perspective on Offline Reinforcement Learning - Google Research

An Optimistic Perspective on Offline Reinforcement Learning  Google Research

FIGURE 6: The architecture of DQN. DQN, which includes three... - ResearchGate

FIGURE 6: The architecture of DQN. DQN, which includes three...  ResearchGate

Applied Reinforcement Learning III: Deep Q-Networks (DQN) - Towards Data Science

Applied Reinforcement Learning III: Deep Q-Networks (DQN)  Towards Data Science

Deep Learning Guides Microswarms' Adaptive Navigation - Mirage News

Deep Learning Guides Microswarms' Adaptive Navigation  Mirage News

Practical Guide to DQN - Towards Data Science

Practical Guide to DQN  Towards Data Science

FIGURE 6. DQN architecture has a main network, a target network, and a... - ResearchGate

FIGURE 6. DQN architecture has a main network, a target network, and a...  ResearchGate

A comparative analysis of reinforcement learning algorithms for earth-observing satellite schedul...

A comparative analysis of reinforcement learning algorithms for earth-observing satellite scheduling  Frontiers

Fig. 3: Deep Q-network (DQN) based MEC System - ResearchGate

Fig. 3: Deep Q-network (DQN) based MEC System  ResearchGate

Research on time series prediction of multi-process based on deep learning - Nature

Research on time series prediction of multi-process based on deep learning  Nature

Deep Q-Network (DQN)-I - Towards Data Science

Deep Q-Network (DQN)-I  Towards Data Science

Beat Atari with Deep Reinforcement Learning! (Part 2: DQN improvements) - Becoming Human: Artific...

Beat Atari with Deep Reinforcement Learning! (Part 2: DQN improvements)  Becoming Human: Artificial Intelligence Magazine

Fig. 1. The interaction cycle between the DQN agent and... - ResearchGate

Fig. 1. The interaction cycle between the DQN agent and...  ResearchGate

FIGURE 10. Accumulated rewards in DQN and DDQN: the higher accumulated... - ResearchGate

FIGURE 10. Accumulated rewards in DQN and DDQN: the higher accumulated...  ResearchGate

Applied Reinforcement Learning III: Deep Q-Networks (DQN) - Towards Data Science

Applied Reinforcement Learning III: Deep Q-Networks (DQN)  Towards Data Science

Figure 3: The DQN architecture taken from the paper by Mnih et al. (2015). - ResearchGate

Figure 3: The DQN architecture taken from the paper by Mnih et al. (2015).  ResearchGate

Figure 7: Bar Chart and Confusion Matrix for the base DQN algorithm for... - ResearchGate

Figure 7: Bar Chart and Confusion Matrix for the base DQN algorithm for...  ResearchGate

How to implement Prioritized Experience Replay for a Deep Q-Network - Towards Data Science

How to implement Prioritized Experience Replay for a Deep Q-Network  Towards Data Science

Figure 7: Comparison of Polyak averaging constants (a) and Single DQN... - ResearchGate

Figure 7: Comparison of Polyak averaging constants (a) and Single DQN...  ResearchGate

Fig. 1. Proposed DQN-PER-based energy trading. - ResearchGate

Fig. 1. Proposed DQN-PER-based energy trading.  ResearchGate

Fig. 1: Reinforcement learning with deep Q-Network (DQN). - ResearchGate

Fig. 1: Reinforcement learning with deep Q-Network (DQN).  ResearchGate

Score v/s episode performance on the LunarLander-v2 task. Left: For DQN and right for the propose...

Score v/s episode performance on the LunarLander-v2 task. Left: For DQN and right for the proposed DQN ensemble  ResearchGate

Google's DeepMind Masters Atari Games - Forbes

Google's DeepMind Masters Atari Games  Forbes

Training the Lunar Lander Agent With Deep Q-Learning and Its variants - DataDrivenInvestor

Training the Lunar Lander Agent With Deep Q-Learning and Its variants  DataDrivenInvestor

Figure 5: Comparison of the performance of our agent (DAIMC) with DQN,... - ResearchGate

Figure 5: Comparison of the performance of our agent (DAIMC) with DQN,...  ResearchGate

The reward curves of WDQN, Q-learning, DQN, DDQN, and Dueling DQN algorithm. - ResearchGate

The reward curves of WDQN, Q-learning, DQN, DDQN, and Dueling DQN algorithm.  ResearchGate

Part 2 - Building a deep Q-network to play Gridworld - Catastrophic Forgetting and Experience... ...

Part 2 - Building a deep Q-network to play Gridworld - Catastrophic Forgetting and Experience...  Towards Data Science

Fig. 2: The structure of our Deep Q-Network (DQN) strategy - ResearchGate

Fig. 2: The structure of our Deep Q-Network (DQN) strategy  ResearchGate

FIGURE 4. DQN Reward Convergence - ResearchGate

FIGURE 4. DQN Reward Convergence  ResearchGate

Figure 1. Comparison of Dueling DQN on Cartpole (top) and Acrobot... - ResearchGate

Figure 1. Comparison of Dueling DQN on Cartpole (top) and Acrobot...  ResearchGate

FIGURE 7. DQN and A3C training algorithms. - ResearchGate

FIGURE 7. DQN and A3C training algorithms.  ResearchGate

Fig. 7: The comparison of Q-learning and deep Q-learning (based on DQN)... - ResearchGate

Fig. 7: The comparison of Q-learning and deep Q-learning (based on DQN)...  ResearchGate

FIGURE 3. DQN dynamic resource allocation model. - ResearchGate

FIGURE 3. DQN dynamic resource allocation model.  ResearchGate

Fig. 2: Deep Q-network (DQN) based trajectory design for autonomous... - ResearchGate

Fig. 2: Deep Q-network (DQN) based trajectory design for autonomous...  ResearchGate

Figure 5. The LSTM-DQN network structure. - ResearchGate

Figure 5. The LSTM-DQN network structure.  ResearchGate

Part 1 – Building a deep Q-network to play Gridworld – DeepMind’s deep Q-networks - Towards Data ...

Part 1 – Building a deep Q-network to play Gridworld – DeepMind’s deep Q-networks  Towards Data Science

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning - Frontiers

Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning  Frontiers

The learning curves of DQN, DQfD and ADQN in Atari Pong - ResearchGate

The learning curves of DQN, DQfD and ADQN in Atari Pong  ResearchGate

Figure 6.1: Average evaluation reward of DQN in Breakout (each point is... - ResearchGate

Figure 6.1: Average evaluation reward of DQN in Breakout (each point is...  ResearchGate

Overview of Spatio-Temporal fusion DRL framework. Spatial-temporal... - ResearchGate

Overview of Spatio-Temporal fusion DRL framework. Spatial-temporal...  ResearchGate

Fig. 4 Learning curves based on the DQN, PPO, SAC and ORRL methods - ResearchGate

Fig. 4 Learning curves based on the DQN, PPO, SAC and ORRL methods  ResearchGate

Figure 3. Proposed CNN based DQN Framework - ResearchGate

Figure 3. Proposed CNN based DQN Framework  ResearchGate

The block diagram of HHO-DQN. A pre-trained CNN with five convolutional... - ResearchGate

The block diagram of HHO-DQN. A pre-trained CNN with five convolutional...  ResearchGate

The framework of deep Q network (DQN). - ResearchGate

The framework of deep Q network (DQN).  ResearchGate

FIGURE 9 | Learning curves of DQN (red), Q learning (green), DQN with... - ResearchGate

FIGURE 9 | Learning curves of DQN (red), Q learning (green), DQN with...  ResearchGate

Fig. 9. RL agent incorporating the DQN's neural network and action masking. - ResearchGate

Fig. 9. RL agent incorporating the DQN's neural network and action masking.  ResearchGate

Figure 4. A detailed framework of Dueling Double DQN for the UAV... - ResearchGate

Figure 4. A detailed framework of Dueling Double DQN for the UAV...  ResearchGate

Figure 1: Concept of DQN Every time the replay memory has been updated,... - ResearchGate

Figure 1: Concept of DQN Every time the replay memory has been updated,...  ResearchGate

Agents learning process through DQN algorithm and its virtual environment - ResearchGate

Agents learning process through DQN algorithm and its virtual environment  ResearchGate

Fig. 1: A Representation of DQN UAV Track Planning Algorithm Framework. - ResearchGate

Fig. 1: A Representation of DQN UAV Track Planning Algorithm Framework.  ResearchGate

The neural network architecture of our proposed multi-DQN agents for... - ResearchGate

The neural network architecture of our proposed multi-DQN agents for...  ResearchGate

Fig. 6: Cumulative regret accumulated by a DQN with various training... - ResearchGate

Fig. 6: Cumulative regret accumulated by a DQN with various training...  ResearchGate

Deep Q-network (DQN) based MEC system - ResearchGate

Deep Q-network (DQN) based MEC system  ResearchGate

Advanced DQNs: Playing Pac-man with Deep Reinforcement Learning - Towards Data Science

Advanced DQNs: Playing Pac-man with Deep Reinforcement Learning  Towards Data Science

FIGURE 4. DQN loss as a function of the number of training episodes - ResearchGate

FIGURE 4. DQN loss as a function of the number of training episodes  ResearchGate

Solving the spike feature information vanishing problem in spiking deep Q network with potential ...

Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization  Frontiers

Exploring Classical and Learned Local Search Heuristics for Combinatorial Optimization - HackerNoon

Exploring Classical and Learned Local Search Heuristics for Combinatorial Optimization  HackerNoon