chirag-singhal / Double-DQNLinks
Deep Reinforcement Learning with Double Q-learning
☆14Updated 5 years ago
Alternatives and similar repositories for Double-DQN
Users that are interested in Double-DQN are comparing it to the libraries listed below
Sorting:
- Combination of RL and game theory for modeling human behavior☆11Updated 4 years ago
- DQN related algorithms☆10Updated 2 years ago
- ☆16Updated 4 years ago
- This is a repository of DQN and its variants implementation in PyTorch based on the original papar.☆13Updated 6 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆17Updated 3 years ago
- Deep Q Network for Multi-agent RL☆15Updated 5 years ago
- Optimization of vehicle routing problem by deep reinforcement learning method based on residual edge-graph attention network☆13Updated 11 months ago
- Experiments for performing empirical game-theoretic analysis of networked system control for common-pool resource management using multi-…☆18Updated 5 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆12Updated 2 years ago
- Deep Reinforcement Learning framework that uses GNN to solve planning tasks for infrastructural assets☆16Updated 3 years ago
- ☆14Updated 4 years ago
- Real time image capture+DQN path planning☆11Updated 2 years ago
- Transfer Learning in Reinforcement Learning using Stable-Baseline3 | Transfer Reinforcement Learning for Differing Action Spaces via Q-Ne…☆21Updated 3 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Updated 2 years ago
- Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment☆16Updated 2 years ago
- Re-produce DQN, REINFORCE, REINFORCE with baseline, one-step AC, QAC, QAC with shared network, PPO2, DDPG, TD3, SAC, SAC discrete，A2C，A3C☆21Updated 5 years ago
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆14Updated 8 months ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Updated 3 years ago
- SARSA, Q-Learning, Expected SARSA, SARSA(λ) and Double Q-learning Implementation and Analysis☆29Updated 6 years ago
- Control Traffic lights intelligently with Reinforcement Learning!☆16Updated 5 years ago
- A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preferenc…☆38Updated 2 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- The Easiest Pytorch Implementation of Branching-DQN☆12Updated 4 years ago
- Implement reinforcement learning algorithms in Pytorch☆33Updated 4 years ago
- The primary purpose of CARLA is to support development, training, and validation of autonomous driving systems.☆20Updated 5 years ago
- 通过python3.6编程，利用DQN算法实现机器学习避开障碍走到迷宫终点。（Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…☆10Updated 7 years ago
- DQN examples codes in chapter 4☆44Updated 2 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 3 years ago
- This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch…☆21Updated last year
- MATLAB implementation of DQN for a navigation environment☆14Updated 5 years ago