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Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Visionby Ujwal2910
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We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
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Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)
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basic algorithms of reinforcement learning
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Adaptive crawler which uses Reinforcement Learning methods
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The Fast Downward domain-independent classical planning system
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self-studying the Sutton & Barto the hard way
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A collection of MuJoCo based environments.
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Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
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Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
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Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
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Reinforcement Learning for finance
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A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
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Python 
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Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
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:sparkles: A plotter for reinforcement learning (RL)
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SoftGym is a set of benchmark environments for deformable object manipulation.
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Python 
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Simple Cartpole example writed with pytorch.
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Modular framework for Reinforcement Learning in python
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implement of prioritized experience replay
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pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
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A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
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Skill-tree rendering
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Automatically activate a conda environment when entering a folder with an environment.yml file
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(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
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Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
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Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling
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MiniWoB++: a web interaction benchmark for reinforcement learning
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The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
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Autonomous Navigation of UAV using Reinforcement Learning algorithms.
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Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
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reinforcement-learningby carla-simulator
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133
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Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
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State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
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Reinforcement Learning in Keras on VizDoom
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An implementation of Monte Carlo Tree Search in python
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Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
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Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
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Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
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anyrl-pyby unixpickle
A reinforcement learning framework
Python
151
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baby-a3cby greydanus
A high-performance Atari A3C agent in 180 lines of PyTorch
Python
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Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Visionby Ujwal2910
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
Python
151
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GameGAN_codeby nv-tlabs
Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)
Python
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rllabplusplusby shaneshixiang
Python
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carla-roachby zhejz
Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
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rl_CARLAby zhangfuyang
Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator
Python
149
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holdemby wenkesj
:black_joker: OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
Python
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rl-tutorialsby johnjim0816
basic algorithms of reinforcement learning
Jupyter Notebook
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deep-deepby TeamHG-Memex
Adaptive crawler which uses Reinforcement Learning methods
Jupyter Notebook
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downwardby aibasel
The Fast Downward domain-independent classical planning system
Python
147
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rl-book-challengeby mtrazzi
self-studying the Sutton & Barto the hard way
Python
147
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mj_envsby vikashplus
A collection of MuJoCo based environments.
Python
147
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Pytorch-DPPOby alexis-jacq
Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286
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146
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Stock-Trading-Visualizationby notadamking
A simple, yet elegant visualization of our stock trading RL agent environment.
Python
145
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spirlby clvrai
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
Python
145
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MA-AIRLby ermongroup
Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.
Python
144
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reinforcement_learningby yrlu
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
Python
144
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evogymby EvolutionGym
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
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144
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rl-testbed-for-energyplusby IBM
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
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143
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dl4ir-query-reformulatorby nyu-dl
Python
143
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DQNby jjakimoto
Reinforcement Learning for finance
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143
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Pair-Trading-Reinforcement-Learningby wai-i
An Structural Application of Reinforcement Learning in Pair Trading
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142
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alpha_sigmaby pandezhao
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
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142
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A-DEEP-REINFORCED-MODEL-FOR-ABSTRACTIVE-SUMMARIZATIONby oceanypt
Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304
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142
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rl-plotterby gxywy
:sparkles: A plotter for reinforcement learning (RL)
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142
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softgymby Xingyu-Lin
SoftGym is a set of benchmark environments for deformable object manipulation.
C++
142
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Reinforcement-Learning-Pytorch-Cartpoleby g6ling
Simple Cartpole example writed with pytorch.
Python
141
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coaxby coax-dev
Modular framework for Reinforcement Learning in python
Python
141
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prioritized-experience-replayby Damcy
implement of prioritized experience replay
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140
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dreamer-pytorchby yusukeurakami
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
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140
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pomdp-pyby h2r
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
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140
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skill-treeby nikomatsakis
Skill-tree rendering
Rust
140
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conda-auto-envby chdoig
Automatically activate a conda environment when entering a folder with an environment.yml file
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WorldOnRailsby dotchen
(ICCV 2021, Oral) RL and distillation in CARLA using a factorized world model
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140
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MARLspectrumSharingV2Xby le-liang
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
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139
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Gymjspby Yunhui1998
Share a benchmark that can easily apply reinforcement learning in Job-shop-scheduling
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139
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miniwob-plusplusby Farama-Foundation
MiniWoB++: a web interaction benchmark for reinforcement learning
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MultiAgentTORCSby abhisheknaik96
The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.
Python
138
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VPilotby aitorzip
Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.
Python
137
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rl_ardroneby navuboy
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
Python
137
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MP-DQNby cycraig
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
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135
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handful-of-trials-pytorchby quanvuong
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Python
133
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reinforcement-learningby carla-simulator
Reinforcement learning baseline agent trained with the Actor-critic (A3C) algorithm.
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133
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srl-zooby araffin
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
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VizDoom-Keras-RLby flyyufelix
Reinforcement Learning in Keras on VizDoom
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132
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mctsby hildensia
An implementation of Monte Carlo Tree Search in python
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IC3Netby IC3Net
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
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132
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RL-Forex-trader-LSTMby CodeLogist
Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader
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toyCarIRLby jangirrishabh
Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
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131
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