Ja1r0 / DQN-play-SuperMario
implement the classic reinforcement learning algorithm DQN to play supermariobrother
☆15Updated 6 years ago
Related projects: ⓘ
- Reinforcement Learning for Super Mario Bros using A3C on GPU☆36Updated 6 years ago
- dqn autoplay mario bros☆21Updated 7 years ago
- An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.☆68Updated 3 years ago
- PyTorch Implementation of DQN and training Super Mario Bros☆25Updated 6 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆76Updated 5 years ago
- Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286☆180Updated 6 years ago
- Proximal Policy Optimization(PPO) Algorithm and its distributed implementation in Pytorch☆15Updated 6 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆64Updated 7 years ago
- Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty☆56Updated 5 years ago
- Super Mario Reinforcement Learning from Demonstration☆25Updated 6 years ago
- Play flappy bird with DQN, a demo for reinforcement learning, implemented using PyTorch☆68Updated 7 years ago
- Implementation of Deep Q-learning from Demonstrations using Keras and a Retro Gym environment.☆14Updated 6 years ago
- ☆69Updated 5 years ago
- Fictitious Self-play & Reinforcement Learning☆19Updated 6 years ago
- Implementation for ICML 16 paper "Deep reinforcement learning with opponent modeling"☆71Updated 8 years ago
- Proximal Policy Optimization implementation with TensorFlow☆101Updated 5 years ago
- Efficient Reinforcement Learning with a Thought-Game for StarCraft☆46Updated last year
- just for fun☆23Updated 7 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆129Updated last year
- ☆45Updated 5 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆170Updated 5 years ago
- This is the code for the "How to Beat Pong Using Policy Gradients (LIVE)" by Siraj Raval on Youtube☆63Updated 7 years ago
- Tensorflow Implementation for "Noisy network for exploration"☆33Updated 7 years ago
- RainBow, Tensorflow☆49Updated 6 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆60Updated 3 years ago
- ☆33Updated 6 years ago
- A Multi-agent Learning Framework☆61Updated 3 years ago
- PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch☆114Updated 7 years ago
- Random Network Distillation(RND) algo in Pytorch☆48Updated 5 years ago