yeshenpy / EvoRainbowLinks
(ICML 2024) The official code for EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
☆33Updated last year
Alternatives and similar repositories for EvoRainbow
Users that are interested in EvoRainbow are comparing it to the libraries listed below
Sorting:
- ☆98Updated 4 months ago
- A plotter for reinforcement learning (RL) using Weights & Biases☆15Updated last year
- Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning☆333Updated 2 months ago
- Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation☆137Updated 5 months ago
- Official implementation for the NeurIPS 2023 paper: "Reduced Policy Optimization for Continuous Control with Hard Constraints"☆41Updated last year
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆207Updated last year
- This is the official implementation of ERL-Re2.☆71Updated last year
- ☆17Updated 2 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆124Updated 5 years ago
- PyTorch implementation of Constrained Reinforcement Learning for Soft Actor Critic Algorithm☆59Updated 3 years ago
- Transformer in RL for decision-making☆103Updated 2 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆41Updated 2 years ago
- ☆46Updated 3 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆81Updated 2 years ago
- The official code releasement of publications in MARL field of TJU RL lab.☆83Updated 3 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆75Updated 3 years ago
- Transformer-based Multi-Agent Actor-Critic Framework☆46Updated 3 years ago
- Implementation of PPO Lagrangian in PyTorch☆54Updated 3 years ago
- Simple implementation for Constrained Policy Optimization in Pytorch☆17Updated 3 years ago
- A clean and robust Pytorch implementation of SAC on discrete action space☆41Updated last year
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆75Updated 3 years ago
- ICLR'2024: Learning Multi-Agent Communication from Graph Modeling Perspective☆49Updated last year
- ☆55Updated 6 months ago
- Official implementation of "Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand☆81Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆72Updated last year
- Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.☆18Updated 2 years ago
- Official repository of the paper TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Proble…☆56Updated last year
- Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)☆12Updated 2 years ago
- [ICLR 2024] Official Implementation of ACORM☆63Updated last year
- We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…☆171Updated last year