Amin-Sz / Deep-Reinforcement-LearningLinks
☆11Updated 2 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning
Users that are interested in Deep-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 6 months ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆185Updated last year
- The implement of the policy gradient RL algorithm with pytorch☆39Updated 4 years ago
- A plotter for reinforcement learning (RL)☆229Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆163Updated 2 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆36Updated 3 years ago
- The code for maddpg using pytorch☆170Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆41Updated 6 years ago
- Code for Weighted QMIX☆138Updated 4 years ago
- ☆42Updated 6 years ago
- pytorch实现的一些MARL算法☆67Updated 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 project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆116Updated 2 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 10 months ago
- PyTorch implementation of Constrained Policy Optimization☆55Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Implementation of the Discrete Soft Actor-Critic algorithm with RNN policy in PyTorch☆27Updated 2 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- ☆216Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆50Updated 3 years ago
- ☆89Updated 3 years ago
- Implementation for mSAC methods in PyTorch☆42Updated 3 years ago
- ☆102Updated 3 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆80Updated 3 years ago