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
- [UR 2023] Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment☆21Updated last year
- Here is our algorithm for Pursuit Problem based on the Distributed Reinforcement Learning for Cooperative Multi-robot Pursuit☆10Updated 6 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆15Updated 4 years ago
- ☆32Updated 2 years ago
- ☆18Updated 8 years ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.