High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
- policy-gradient
- pytorch
- actor-critic-algorithm
- alphago
A JavaScript deep learning and reinforcement learning library.
- deep-learning
- self-driving-car
- reinforcement-learning
- javascript
Program learning to play Flappy Bird by machine learning (Neuroevolution)
- neuroevolution
- machine-learning
- flappybird
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
- pytorch
- reinforcement-learning
- deep-learning
- deep-reinforcement-learning
Modularized Implementation of Deep RL Algorithms in PyTorch
- pytorch
- deep-reinforcement-learning
- dqn
- dueling-network-architecture
🦄 An Artificial Inteligence to teach Google's Dinosaur to jump cactus
- neural-network
- genome
- dino
- genetic-algorithm
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
- deep-learning
- machine-learning
- deep-reinforcement-learning
- mit
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation