sadeqa / Super-Mario-Bros-RLLinks
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
☆80Updated 6 years ago
Alternatives and similar repositories for Super-Mario-Bros-RL
Users that are interested in Super-Mario-Bros-RL are comparing it to the libraries listed below
Sorting:
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Updated 7 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Random Network Distillation(RND) algo in Pytorch☆51Updated 6 years ago
- ☆69Updated 7 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆184Updated 7 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 5 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆81Updated 6 years ago
- Reinforcement Learning implementations and research prototyping in TensorFlow☆81Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆19Updated 7 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆29Updated 6 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 8 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆117Updated 2 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆46Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆70Updated 8 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 7 years ago
- Code for hierarchical imitation learning and reinforcement learning☆300Updated 7 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Updated 7 years ago