Yuxing-Wang-THU / Surrogate-assisted-ERLLinks
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning
☆13Updated 2 years ago
Alternatives and similar repositories for Surrogate-assisted-ERL
Users that are interested in Surrogate-assisted-ERL are comparing it to the libraries listed below
Sorting:
- Average-Reward Reinforcement Learning with Trust Region Methods☆10Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 4 months ago
- a clean and robust Pytorch implementation of SAC on continuous action space☆83Updated 3 months ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆101Updated 3 years ago
- The implementation of LSTM-TD3.☆81Updated 2 years ago
- BipedalWalker & BipedalWalkerHardcore solved by SAC☆25Updated last year
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆50Updated 3 years ago
- Python code for implementation of the paper 'Reinforcement Learning-Based Adaptive PID Controller for DPS☆12Updated 4 years ago
- 这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。☆44Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- 预测-校正学习计算制导律☆12Updated 4 years ago
- Jax and Torch Multi-Agent SAC on PettingZoo API☆86Updated 7 months ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆180Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 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
- A clean and robust Pytorch implementation of PPO on continuous action space.☆156Updated last year
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆37Updated 3 years ago
- Transformer in RL for decision-making☆96Updated 2 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆18Updated 8 months ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆72Updated 3 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆79Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆58Updated last year
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆116Updated last week
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆40Updated 2 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆47Updated 3 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆16Updated 6 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆151Updated last year
- A clean and robust implementation of Prioritized DQN and Prioritized Double DQN☆20Updated last year
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆50Updated 3 years ago