LxzGordon / Deep-Reinforcement-Learning-with-pytorchLinks
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
☆92Updated 4 years ago
Alternatives and similar repositories for Deep-Reinforcement-Learning-with-pytorch
Users that are interested in Deep-Reinforcement-Learning-with-pytorch are comparing it to the libraries listed below
Sorting:
- Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x☆155Updated last year
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆86Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆218Updated 6 years ago
- MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…☆139Updated last year
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆154Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆85Updated 7 months ago
- The code for maddpg using pytorch☆169Updated 4 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆177Updated last year
- implementation of MADDPG using PettingZoo and PyTorch☆147Updated last year
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 3 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago
- This is the official implementation of Multi-Agent PPO.☆107Updated 2 years ago
- ☆99Updated 3 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment☆117Updated 2 years ago
- demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention…☆58Updated 3 years ago
- ☆209Updated 2 years ago
- ☆14Updated 4 years ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆112Updated 5 months ago
- Code for Weighted QMIX☆137Updated 4 years ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆81Updated 2 months ago
- 多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等☆201Updated 3 years ago
- Deep Q-learning (DQN) for Multi-agent Reinforcement Learning (RL)☆341Updated 5 years ago
- ☆40Updated 3 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 2 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago