28 results found Sort:

MorvanZhou
Reinforcement-learning-with-tensorflow MorvanZhou
5.0k
9.0k
mit
290
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
a3c dqn ppo ddpg sarsa tutorial double-dqn q-learning dueling-dqn actor-critic sarsa-lambda deep-q-network policy-gradient machine-learning prioritized-replay tensorflow-tutorials reinforcement-learning proximal-policy-optimization deep-deterministic-policy-gradient asynchronous-advantage-actor-critic
Created 2017-05-06
114 commits to master branch, last one 2 years ago
vwxyzjn
cleanrl vwxyzjn
672
5.9k
other
38
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
832 commits to master branch, last one about a month ago
ikostrikov
pytorch-a2c-ppo-acktr-gail ikostrikov
829
3.6k
mit
66
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 3 years ago
OpenRLHF
OpenRLHF OpenRLHF
301
3.2k
apache-2.0
28
An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
vllm raylib openai-o1 transformers large-language-models reinforcement-learning proximal-policy-optimization reinforcement-learning-from-human-feedback
Created 2023-07-30
1,010 commits to main branch, last one 21 hours ago
nikhilbarhate99
PPO-PyTorch nikhilbarhate99
353
1.8k
mit
9
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
ppo pytorch ppo-pytorch deep-learning policy-gradient pytorch-tutorial pytorch-implmention reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-algorithms
Created 2018-09-27
98 commits to master branch, last one about a year ago
Khrylx
PyTorch-RL Khrylx
189
1.1k
mit
27
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
a2c ppo trpo pytorch pytorch-rl fisher-vectors policy-gradient reinforcement-learning deep-reinforcement-learning proximal-policy-optimization generative-adversarial-network
Created 2017-10-17
100 commits to master branch, last one 3 years ago
vietnh1009
Super-mario-bros-PPO-pytorch vietnh1009
208
1.1k
mit
28
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
ai gym ppo ppo2 mario openai python python3 pytorch openai-gym deep-learning super-mario-bros reinforcement-learning proximal-policy-optimization
Created 2019-10-02
9 commits to master branch, last one 3 years ago
TianhongDai
reinforcement-learning-algorithms TianhongDai
109
670
unknown
15
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are st...
a2c dqn ppo sac ddpg trpo pytorch algorithm atari2600 dueling-dqn flappy-bird actor-critic deep-learning soft-actor-critic deep-reinforcement-learning proximal-policy-optimization trust-region-policy-optimization
Created 2018-01-13
25 commits to master branch, last one 3 years ago
cpnota
autonomous-learning-library cpnota
72
647
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 9 months ago
zuoxingdong
lagom zuoxingdong
30
373
mit
16
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
cem ppo sac td3 ddpg cmaes mujoco python pytorch research deep-learning policy-gradient machine-learning soft-actor-critic evolution-strategies reinforcement-learning artificial-intelligence deep-reinforcement-learning proximal-policy-optimization deep-deterministic-policy-gradient
Created 2017-12-21
703 commits to master branch, last one 5 years ago
idreesshaikh
Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning idreesshaikh
64
307
mit
5
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
ppo ddqn openai pytorch self-driving deep-learning carla-simulator self-driving-car carla-environment self-driving-cars autonomous-driving reinforcement-learning carla-driving-simulator deep-learning-algorithms deep-reinforcement-learning self-driving-car-simulation proximal-policy-optimization
Created 2022-05-18
46 commits to main branch, last one 10 months ago
miroblog
tf_deep_rl_trader miroblog
64
242
unknown
14
Trading Environment(OpenAI Gym) + PPO(TensorForce)
ppo trading tensorflow tensorforce stock-market proximal-policy-optimization
Created 2018-08-25
8 commits to master branch, last one 6 years ago
lcswillems
torch-ac lcswillems
67
193
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 2 years ago
asieradzk
RL_Matrix asieradzk
7
187
other
14
Deep Reinforcement Learning in C#
dqn ppo sac gail dotnet cartpole gail-ppo multi-agent deep-learning machine-learning multi-environment soft-actor-critic reinforcement-learning deep-reinforcement-learning proximal-policy-optimization reinforcement-learning-agent reinforcement-learning-algorithms multi-agent-reinforcement-learning reinforcement-learning-environments
Created 2023-08-15
77 commits to master branch, last one 2 months ago
MarcoMeter
episodic-transformer-memory-ppo MarcoMeter
19
157
mit
4
Clean baseline implementation of PPO using an episodic TransformerXL memory
ppo trxl gtrxl pomdp pytorch on-policy memory-gym transformer actor-critic transformer-xl episodic-memory policy-gradient gated-transformer-xl deep-reinforcement-learning proximal-policy-optimization
Created 2022-05-04
9 commits to main branch, last one 6 months ago
CherryPieSexy
imitation_learning CherryPieSexy
15
141
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 3 years ago
vietnh1009
Contra-PPO-pytorch vietnh1009
30
136
unknown
10
Proximal Policy Optimization (PPO) algorithm for Contra
ai gym ppo ppo2 contra openai contra-nes deep-learning reinforcement-learning proximal-policy-optimization
Created 2019-09-06
3 commits to master branch, last one 3 years ago
jcwleo
curiosity-driven-exploration-pytorch jcwleo
31
134
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
MarcoMeter
recurrent-ppo-truncated-bptt MarcoMeter
16
128
mit
4
Baseline implementation of recurrent PPO using truncated BPTT
gru ppo bptt lstm pomdp pytorch on-policy recurrent truncated recurrence actor-critic deep-learning policy-gradient recurrent-neural-networks deep-reinforcement-learning proximal-policy-optimization
Created 2021-06-07
13 commits to main branch, last one about a year ago
Luca96
carla-driving-rl-agent Luca96
25
111
mit
2
Code for the paper "Reinforced Curriculum Learning for Autonomous Driving in CARLA" (ICIP 2021)
deep-learning autonomous-driving reinforcement-learning carla-driving-simulator deep-reinforcement-learning proximal-policy-optimization
Created 2020-03-12
45 commits to master branch, last one 2 years ago
philtabor
ProtoRL philtabor
5
63
mit
2
A Torch Based RL Framework for Rapid Prototyping of Research Papers
dqn ppo sac td3 ddpg dqn-pytorch dueling-dqn ppo-pytorch sac-pytorch td3-pytorch actor-critic ddpg-pytorch dueling-ddqn soft-actor-critic dueling-dqn-pytorch dueling-network-architecture proximal-policy-optimization twin-delayed-policy-gradient prioritized-experience-replay
Created 2023-04-10
85 commits to master branch, last one 17 days ago
Phoenix-Shen
ReinforcementLearning Phoenix-Shen
14
60
unknown
1
强化学习算法库，包含了目前主流的强化学习算法(Value based and Policy based)的代码，代码都经过调试并可以运行
dppo pytorch algorithms td3-pytorch ddpg-pytorch policy-gradient qlearning-algorithm actor-critic-algorithm reinforcement-learning deep-qlearning-algorithm deep-reinforcement-learning proximal-policy-optimization prioritized-experience-replay
Created 2021-12-01
193 commits to main branch, last one about a year ago
bmazoure
ppo_jax bmazoure
3
53
unknown
1
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
gym ppo procgen deep-learning machine-learning reinforcement-learning proximal-policy-optimization
Created 2021-09-03
12 commits to main branch, last one 2 years ago
TommasoVandermeer
Hospitalbot-Path-Planning TommasoVandermeer
12
51
unknown
3
This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agents for a path planning problem.
ros gazebo robotics ros2-foxy openai-gym ros2-humble path-planning motion-planning gazebo-simulator stable-baselines3 reinforcement-learning proximal-policy-optimization
Created 2023-02-07
64 commits to humble branch, last one about a year ago
lucidrains
phasic-policy-gradient lucidrains
7
47
mit
3
An implementation of Phasic Policy Gradient, a proposed improvement of Proximal Policy Gradients, in Pytorch
reinforcement-learning artificial-intelligence proximal-policy-optimization
Created 2020-09-27
56 commits to master branch, last one 18 days ago
kochlisGit
TraderNet-CRv2 kochlisGit
9
31
unknown
3
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
ddqn python tf-agents tensorflow trading-bot google-trends ppo-algorithm explainability reward-shaping machine-learning google-trends-api technical-analysis trading-algorithms deep-neural-networks double-dqn-algorithm risk-adjusted-return technical-indicators cryptocurrency-trading deep-reinforcement-learning proximal-policy-optimization
Created 2022-12-29
5 commits to main branch, last one about a year ago
fjcollyer
3D-Driving-AI-PPO fjcollyer
5
30
unknown
1
🚗 3D web app that combines Proximal Policy Optimization with Three.js, enabling users to directly interact with or train AI models on a virtual racetrack.
ai three-js proximal-policy-optimization
Created 2023-09-21
101 commits to main branch, last one 9 months ago
jolle-ag
qdx jolle-ag
8
27
mit
3
Quantum error correction code AI-discovery with Jax
jax gpu-computing stabilizer-code quantum-circuits clifford-circuits clifford-simulator reinforcement-learning quantum-error-correction proximal-policy-optimization
Created 2024-02-23
18 commits to main branch, last one 12 days ago