11 results found Sort:

vwxyzjn
cleanrl vwxyzjn
558
4.8k
other
35
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
a2c ale gym ppo atari wandb python pytorch actor-critic deep-learning machine-learning advantage-actor-critic phasic-policy-gradient reinforcement-learning deep-reinforcement-learning proximal-policy-optimization
Created 2019-06-07
828 commits to master branch, last one 18 days ago
ikostrikov
pytorch-a2c-ppo-acktr-gail ikostrikov
831
3.5k
mit
67
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) ...
a2c ale ppo kfac acktr atari mujoco hessian pytorch roboschool actor-critic second-order deep-learning natural-gradients continuous-control advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization kronecker-factored-approximation
Created 2017-08-22
274 commits to master branch, last one 2 years ago
qfettes
DeepRL-Tutorials qfettes
326
1.0k
unknown
30
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
Kismuz
btgym Kismuz
259
979
lgpl-3.0
99
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 2 years ago
cpnota
autonomous-learning-library cpnota
72
642
mit
23
A PyTorch library for building deep reinforcement learning agents.
a2c dqn ppo sac ddpg dqn-pytorch deep-q-learning soft-actor-critic advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-algorithms deep-deterministic-policy-gradient
Created 2018-11-07
300 commits to develop branch, last one 3 months ago
PacktPublishing
Hands-On-Intelligent-Agents-with-OpenAI-Gym PacktPublishing
145
359
mit
19
Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch
dqn pytorch openai-gym pytorch-a3c actor-critic pytorch-carla carla-simulator learning-agents intelligent-agents advantage-actor-critic carla-driving-simulator deep-reinforcement-learning
Created 2018-05-09
244 commits to master branch, last one about a year ago
inoryy
tensorflow2-deep-reinforcement-learning inoryy
52
209
mit
10
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"
a2c keras tensorflow tensorflow2 advantage-actor-critic deep-reinforcement-learning
Created 2019-01-19
8 commits to master branch, last one 2 years ago
lcswillems
torch-ac lcswillems
64
190
mit
8
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
a2c a3c ppo pytorch minigrid recurrent actor-critic multi-process reward-shaping advantage-actor-critic reinforcement-learning recurrent-neural-networks deep-reinforcement-learning proximal-policy-optimization
Created 2019-04-07
25 commits to master branch, last one about a year ago
CherryPieSexy
imitation_learning CherryPieSexy
14
129
unknown
5
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
a2c ppo gail pytorch gail-ppo ppo-algo ppo-pytorch deep-learning recurrent-ppo policy-gradient imitation-learning advantage-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization
Created 2020-05-04
89 commits to master branch, last one 2 years ago
jcwleo
curiosity-driven-exploration-pytorch jcwleo
30
128
mit
3
Curiosity-driven Exploration by Self-supervised Prediction
icm pytorch curiosity-driven advantage-actor-critic reinforcement-learning proximal-policy-optimization
Created 2018-11-23
12 commits to master branch, last one about a year ago
med-air
DEX med-air
3
29
mit
2
[ICRA'23] Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
sac awac ddpg gail sqil pytorch-rl surgical-robots automation-robotics goal-conditioned-rl advantage-actor-critic reinforcement-learning hindsight-experience-replay
Created 2023-02-18
9 commits to main branch, last one about a year ago