LucasAlegre / morl-baselinesLinks
Multi-Objective Reinforcement Learning algorithms implementations.
☆413Updated 2 weeks ago
Alternatives and similar repositories for morl-baselines
Users that are interested in morl-baselines are comparing it to the libraries listed below
Sorting:
- Multi-objective Gymnasium environments for reinforcement learning☆336Updated last month
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆442Updated 2 weeks ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆617Updated 10 months ago
- The repository is for safe reinforcement learning baselines.☆675Updated last week
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆451Updated 2 months ago
- ☆214Updated 2 years ago
- Datasets with baselines for Offline MARL.☆176Updated last week
- An elegant PyTorch offline reinforcement learning library for researchers.☆352Updated 3 weeks ago
- PyTorch implementation of SAC-Discrete.☆307Updated last year
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆479Updated 5 months ago
- ☆422Updated last year
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆373Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆358Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆181Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆188Updated 10 months ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆165Updated last year
- Multi-Agent Reinforcement Learning (MARL) papers☆268Updated 2 years ago
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆491Updated 2 years ago
- Multi-Objective Reinforcement Learning☆282Updated 3 years ago
- A plotter for reinforcement learning (RL)☆227Updated 3 years ago
- Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning☆296Updated 11 months ago
- ☆256Updated last year
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆300Updated 5 months ago
- This is the official implementation of Multi-Agent PPO.☆113Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- multi-agent deep reinforcement learning for networked system control.☆420Updated 4 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆436Updated 2 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆204Updated 10 months ago