semitable / lb-foragingLinks
Level-based Foraging (LBF): A multi-agent environment for RL
☆196Updated last year
Alternatives and similar repositories for lb-foraging
Users that are interested in lb-foraging are comparing it to the libraries listed below
Sorting:
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Multi-objective Gymnasium environments for reinforcement learning☆346Updated 3 months ago
- Datasets with baselines for Offline MARL.☆181Updated 2 months ago
- ☆268Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆324Updated 2 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆360Updated 2 years ago
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆116Updated last year
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆635Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆186Updated last year
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆154Updated last year
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆51Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Deep Transformer Q-Networks for Partially Observable Reinforcement Learning☆170Updated last year
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆326Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Deep Reinforcement Learning codes for study. Currently, there are only codes for algorithms: DQN, C51, QR-DQN, IQN, QUOTA.☆214Updated 2 years ago
- Minimal implementation of multi-agent reinforcement learning algorithms☆59Updated 4 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆155Updated last year
- A collection of pre-trained RL agents using Stable Baselines3☆138Updated 11 months ago
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆216Updated last year
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆491Updated last week
- A plotter for reinforcement learning (RL)☆234Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆193Updated last year
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆163Updated 2 years ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆303Updated 8 months ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆335Updated last year
- ☆217Updated 2 years ago