NeymarL / Pacman-RLLinks
Implement some reinforcement learning algorithms, test and visualize on Pacman.
☆33Updated 7 years ago
Alternatives and similar repositories for Pacman-RL
Users that are interested in Pacman-RL are comparing it to the libraries listed below
Sorting:
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.☆299Updated last year
- PyTorch implementation of DDPG for continuous control tasks.☆47Updated 6 years ago
- MADDPG in Ray/RLlib☆54Updated 6 years ago
- A simple implementation of Generative Adversarial Imitation Learning with PyTorch☆174Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆231Updated 3 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆238Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆585Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆72Updated last year
- Source Code for A Closer Look at Invalid Action Masking in Policy Gradient Algorithms☆167Updated 2 years ago
- The implement of all kinds of dqn reinforcement learning with Pytorch☆96Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Algorithm☆31Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆137Updated 5 months ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆89Updated 7 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆187Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆67Updated 4 years ago
- Adversarial Inverse Reinforcement Learning Implement For Mountain Car☆36Updated 4 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆404Updated last year
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.☆149Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆249Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆99Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆22Updated 4 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 7 years ago