tony23545 / Deep-Reinforcement-Learning-ReimplementationLinks
Pytorch Implement DRL algorithms (A2C, DDPG, PPO, TD3, SAC) for continuous action space control tasks.
☆19Updated 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:
- ☆28Updated 2 years ago
- [TNNLS] PGDQN: A generalized and efficient preference-guided epsilon-greedy policy equipped DQN for Atari and Autonomous Driving☆12Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆52Updated 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☆57Updated this week
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆22Updated last year
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆116Updated 3 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆35Updated last year
- ☆18Updated 7 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆13Updated 4 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆49Updated 5 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆38Updated 2 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆32Updated 2 years ago
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆28Updated 4 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆15Updated 4 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).☆10Updated 3 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…☆25Updated 2 years ago
- my code for paper Parameterized-DQN☆23Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆123Updated 2 months ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆143Updated last year
- RL Dresden Algorithm Suite☆31Updated last year
- Real time image capture+DQN path planning☆10Updated 2 years ago
- Code for paper "Multi-Agent Active Search: a Reinforcement Learning Approach", submitted to ICRA 2022.☆13Updated 3 years ago
- Reinforcement learning algorithm by pytorch☆33Updated 3 years ago
- The implementation of LSTM-TD3.☆85Updated 2 years ago
- ☆17Updated 2 years ago
- Deep learning model powered by Graph Neural Networks and Reinforcement Learning for multi-robot path planning at @Inria☆58Updated last year
- Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents☆10Updated 3 years ago
- Combination of RL and game theory for modeling human behavior☆11Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆93Updated 4 years ago