cil-lab / fwaopt
☆15Updated last week
Related projects: ⓘ
- This is the official implementation of ERL-Re2.☆55Updated 3 months ago
- ☆39Updated 2 years ago
- (ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search☆16Updated 3 months ago
- Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning☆176Updated last month
- ☆17Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆53Updated 4 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆99Updated 3 years ago
- ☆9Updated 3 years ago
- ☆40Updated 2 years ago
- ☆120Updated 3 years ago
- ☆88Updated 2 years ago
- ☆30Updated 2 weeks ago
- 天授中文文档☆55Updated 2 years ago
- ☆38Updated this week
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆28Updated last year
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆54Updated 2 years ago
- ☆25Updated 3 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆54Updated 8 months ago
- RLlib超参数详解(中文)☆14Updated 2 years ago
- ☆159Updated 11 months ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆83Updated last year
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆48Updated last year
- ☆24Updated 3 years ago
- ☆44Updated last year
- Implement many Sparse Reward algorithms in Gym Fetch environment☆79Updated 4 years ago
- Official implementation of NeurIPS22 paper “Multi-agent Dynamic Algorithm Configuration”☆23Updated last year
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆34Updated 2 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆128Updated 3 years ago
- ☆35Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆34Updated 4 years ago