NeymarL / Pacman-RLLinks
Implement some reinforcement learning algorithms, test and visualize on Pacman.
☆28Updated 6 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:
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆63Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆557Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆321Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆290Updated 4 years ago
- Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.☆38Updated 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 2 years ago
- PyTorch implementation of DDPG for continuous control tasks.☆46Updated 5 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆92Updated 4 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆238Updated 4 years ago
- A clean and robust Pytorch implementation of PPO on Discrete action space☆69Updated last year
- I used this paper as inspiration https://arxiv.org/pdf/1904.03367.pdf☆35Updated 2 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.☆90Updated 6 years ago
- Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty☆56Updated 6 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆29Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆316Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆146Updated 6 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆83Updated 7 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆91Updated last year
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Clean Python Implementation of the Deep Deterministic Policy Gradients Algorithm☆77Updated 8 years ago
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- Proximal Policy Optimization with Tensorflow 2.0☆31Updated 5 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆211Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 4 years ago