CUN-bjy / gym-td3-kerasLinks
Keras Implementation of TD3(Twin Delayed DDPG) with PER(Prioritized Experience Replay) option on OpenAI gym framework
☆10Updated 4 years ago
Alternatives and similar repositories for gym-td3-keras
Users that are interested in gym-td3-keras are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- An implementation of deep reinforcement learning TD3 algorithm with prioritized experience replay (PER) buffer☆23Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 5 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆65Updated 9 months ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆43Updated 6 years ago
- Implementation of Soft Actor-Critic (SAC) algorithm using TensorFlow 2.1.0☆12Updated 5 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- A deep reinforcement learning multi-agent algorithm, where a team learns to complete a task and communicate between agents.☆16Updated 4 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆22Updated 4 months ago
- The implementation of LSTM-TD3.☆81Updated 2 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Python implement of paper "PD-FAC: Probability Density Factorized Multi-Agent Distributional Reinforcement Learning for Multi-Robot Relia…☆11Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Multi Agent Reinforcement Learning for Dense Path Planning☆31Updated 2 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆37Updated 4 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 7 years ago
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆71Updated 3 years ago
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- The state-of-the-art in multi-agent Reinforcement Learning is the MADDPG algorithm which utilises DDPG actor-critic neural networks where…☆27Updated 5 years ago
- Master Thesis - Transfer Learning for Mapless Quadrotor Navigation Using Recurrent Neural Network☆17Updated 4 years ago
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago