11 results found Sort:
- Filter by Primary Language:
- Python (9)
- Jupyter Notebook (2)
- +
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Created
2019-06-07
832 commits to master branch, last one 6 days ago
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
Created
2017-08-22
274 commits to master branch, last one 2 years ago
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
a2c
gae
ppo
python3
pytorch
rainbow
double-dqn
dueling-dqn
actor-critic
deep-q-network
noisy-networks
categorical-dqn
deeprl-tutorials
multi-step-learning
quantile-regression
advantage-actor-critic
reinforcement-learning
deep-recurrent-q-network
deep-reinforcement-learning
prioritized-experience-replay
Created
2018-05-31
88 commits to master branch, last one 5 years ago
Scalable, event-driven, deep-learning-friendly backtesting library
a3c
unreal
backtrader
openai-gym
tensorflow
time-series
hacktoberfest
gym-environment
policy-gradient
algoritmic-trading
quantitive-finance
policy-optimisation
statistical-arbitrage
advantage-actor-critic
reinforcement-learning
algorithmic-trading-library
deep-reinforcement-learning
backtesting-trading-strategies
Created
2017-05-24
635 commits to master branch, last one 3 years ago
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 8 months ago
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
Created
2018-05-09
244 commits to master branch, last one about a year ago
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
Created
2019-01-19
8 commits to master branch, last one 3 years ago
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Created
2019-04-07
25 commits to master branch, last one 2 years ago
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Created
2020-05-04
89 commits to master branch, last one 3 years ago
Curiosity-driven Exploration by Self-supervised Prediction
Created
2018-11-23
12 commits to master branch, last one about a year ago
[ICRA 2023] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
Created
2023-02-18
9 commits to main branch, last one about a year ago