honghaow / FORKLinks
☆15Updated 3 years ago
Alternatives and similar repositories for FORK
Users that are interested in FORK are comparing it to the libraries listed below
Sorting:
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 9 months ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆49Updated last year
- Multi-Agent Reinforcement Learning with Stable-Baselines3☆20Updated 3 years ago
- A collection of recent MARL papers☆93Updated 7 months ago
- Proximal Policy Optimization (Continuous Version) in PyTorch.☆29Updated last month
- Benchmarks for Multi-Objective Multi-Agent Decision Making☆92Updated last week
- Level-based Foraging (LBF): A multi-agent environment for RL☆182Updated 9 months ago
- ☆28Updated 4 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆50Updated last month
- ☆73Updated last year
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆90Updated 2 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 2 years ago
- ☆76Updated last year
- MADDPG in Ray/RLlib☆23Updated 4 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆144Updated 3 years ago
- Algorithms for Uni-Modal Inverse Reinforcement Learning☆21Updated 2 years ago
- Carla-Simulator environment compatible with Ray/Rllib☆37Updated 5 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆53Updated 4 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 3 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆64Updated 2 years ago
- Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)☆22Updated 2 years ago
- MATE: the Multi-Agent Tracking Environment.☆45Updated 2 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated 3 months ago
- A curated list of multiagent learning and related area resources.☆77Updated 5 years ago
- An OpenAI Gym environment for multi-agent car racing based on Gym's original car racing environment.☆82Updated 3 years ago