tony23545 / Deep-Reinforcement-Learning-ReimplementationLinks
Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
☆18Updated 5 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-Reimplementation
Users that are interested in Deep-Reinforcement-Learning-Reimplementation are comparing it to the libraries listed below
Sorting:
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Updated 2 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆15Updated 4 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆42Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆42Updated 2 years ago
- ☆33Updated 2 years ago
- Implement reinforcement learning algorithms in Pytorch☆34Updated 4 years ago
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆22Updated last year
- Real time image capture+DQN path planning☆12Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆22Updated 7 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆53Updated 6 years ago
- 无人机动态覆盖控制；1. 实现了一个无人机点覆盖环境；2. 给出了无人机连通保持规则；3. 给出了基于MARL的控制算法☆77Updated 4 months ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 6 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆52Updated 5 years ago
- Combination of RL and game theory for modeling human behavior☆11Updated 4 years ago
- The implementation of LSTM-TD3.☆87Updated 2 years ago
- ☆18Updated 8 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).☆11Updated 3 years ago
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Updated 6 years ago
- ☆25Updated 5 years ago
- Target tracking environments for RL☆32Updated 5 years ago
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆28Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆108Updated 3 years ago
- A SAC implementation to use upon larocs/Drone_RL☆30Updated 5 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- This is an implementation of the paper Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage by Huy Xuan Pham, …☆20Updated 5 years ago
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆135Updated 3 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆157Updated last year
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆11Updated 4 years ago
- Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria☆66Updated last year
- 基于分层强化学习和逆向强化学习的自适应巡航算法☆27Updated 6 years ago