[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
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Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
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Reinforcement_Learning_in_Pythonby sichkar-valentyn
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Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
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HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
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Constrained Policy Optimization
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A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
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A fork of OpenAI Gym with custom SpaceX Rocket Lander environment for box2d
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multi-agent deep reinforcement learning for large-scale traffic signal control.
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DRL_based_SelfDrivingCarControlby MLJejuCamp2017
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Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
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EGG: Emergence of lanGuage in Games
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我的强化学习笔记和学习材料:book: still updating ... ...
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A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
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AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
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Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
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guided-evolutionary-strategiesby brain-research
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Guided Evolutionary Strategies
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PyTorch Implementation of REINFORCE for both discrete & continuous control
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Code for "One-Shot Visual Imitation Learning via Meta-Learning"
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A continuous action space version of A3C LSTM in pytorch plus A3G design
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Reinforcement learning with A* and a deep heuristic
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Resource Management with Deep Reinforcement Learning (HotNets '16)
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RLPy Reinforcement Learning Framework
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Benchmarking the Spectrum of Agent Capabilities
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Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
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Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
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ICML 2018 Self-Imitation Learning
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RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
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Deep-Reinforcement-Learning-With-Pythonby sudharsan13296
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242
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Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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Companion code for the "Self Learning Quant" blog post
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Deep Reinforcement Learning for Robotic Grasping from Octrees
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applied-reinforcement-learningby mimoralea
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Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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Navigation mesh toolkit for ThreeJS
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Maze Applied Reinforcement Learning Framework
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An open source framework for research in Embodied-AI from AI2.
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A simple framework for experimenting with Reinforcement Learning in Python.
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Agent Learning Framework https://alf.readthedocs.io
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Modular and flexible reinforcement learning library with support for Isaac Gym, Isaac Orbit and Omniverse Isaac Gym environments
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PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
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Real-World RL Benchmark Suite
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Deep Reinforcement Learning in Pac-man
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A collection of robotics simulation environments for reinforcement learning
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TARE Exploration Planner for Ground Vehicles
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Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
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Code for the paper "Evolved Policy Gradients"
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Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
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Scalable Implementation of Deep CFR and Single Deep CFR
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Hierarchical-Actor-Critic-HAC-PyTorchby nikhilbarhate99
Python 
226
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PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
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Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
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multimodal-prompt-learningby muzairkhattak
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
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263
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gym-minecraftby tambetm
Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
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261
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Reinforcement_Learning_in_Pythonby sichkar-valentyn
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
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260
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HandyRLby DeNA
HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
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260
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cpoby jachiam
Constrained Policy Optimization
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259
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streetlearnby deepmind
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
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259
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gym_rocketLanderby EmbersArc
A fork of OpenAI Gym with custom SpaceX Rocket Lander environment for box2d
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257
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deeprl_signal_controlby cts198859
multi-agent deep reinforcement learning for large-scale traffic signal control.
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DRL_based_SelfDrivingCarControlby MLJejuCamp2017
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
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257
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EGGby facebookresearch
EGG: Emergence of lanGuage in Games
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rl_learnby applenob
我的强化学习笔记和学习材料:book: still updating ... ...
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RoboLeagueby roboserg
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
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255
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AutoPentest-DRLby crond-jaist
AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning
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255
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mbpoby JannerM
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
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254
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guided-evolutionary-strategiesby brain-research
Guided Evolutionary Strategies
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pytorch-REINFORCEby chingyaoc
PyTorch Implementation of REINFORCE for both discrete & continuous control
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252
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milby tianheyu927
Code for "One-Shot Visual Imitation Learning via Meta-Learning"
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252
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a3c_continuousby dgriff777
A continuous action space version of A3C LSTM in pytorch plus A3G design
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249
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aleph_starby imagry
Reinforcement learning with A* and a deep heuristic
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deeprmby hongzimao
Resource Management with Deep Reinforcement Learning (HotNets '16)
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248
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rlpyby rlpy
RLPy Reinforcement Learning Framework
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247
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crafterby danijar
Benchmarking the Spectrum of Agent Capabilities
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kaggle-environmentsby Kaggle
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learning-to-communicate-pytorchby minqi
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
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hierarchical_IL_RLby hoangminhle
Code for hierarchical imitation learning and reinforcement learning
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244
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stable-baselinesby Stable-Baselines-Team
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
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243
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self-imitation-learningby junhyukoh
ICML 2018 Self-Imitation Learning
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243
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rlstructuresby facebookresearch
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
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243
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Deep-Reinforcement-Learning-With-Pythonby sudharsan13296
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
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sl-quantby danielzak
Companion code for the "Self Learning Quant" blog post
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241
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drl_graspingby AndrejOrsula
Deep Reinforcement Learning for Robotic Grasping from Octrees
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241
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applied-reinforcement-learningby mimoralea
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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PatrolJSby nickjanssen
Navigation mesh toolkit for ThreeJS
JavaScript
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mazeby enlite-ai
Maze Applied Reinforcement Learning Framework
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238
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allenactby allenai
An open source framework for research in Embodied-AI from AI2.
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237
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simple_rlby david-abel
A simple framework for experimenting with Reinforcement Learning in Python.
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237
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alfby HorizonRobotics
Agent Learning Framework https://alf.readthedocs.io
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rl_graph_generationby bowenliu16
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235
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skrlby Toni-SM
Modular and flexible reinforcement learning library with support for Isaac Gym, Isaac Orbit and Omniverse Isaac Gym environments
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235
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off-policyby marlbenchmark
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
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234
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realworldrl_suiteby google-research
Real-World RL Benchmark Suite
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PacmanDQNby tychovdo
Deep Reinforcement Learning in Pac-man
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232
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Gymnasium-Roboticsby Farama-Foundation
A collection of robotics simulation environments for reinforcement learning
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232
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tare_plannerby caochao39
TARE Exploration Planner for Ground Vehicles
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230
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TF2-RLby anita-hu
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
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228
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EPGby openai
Code for the paper "Evolved Policy Gradients"
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228
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ddpg-aigymby stevenpjg
Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments
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227
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Deep-CFRby EricSteinberger
Scalable Implementation of Deep CFR and Single Deep CFR
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227
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Hierarchical-Actor-Critic-HAC-PyTorchby nikhilbarhate99
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
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226
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gym-electric-motorby upb-lea
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
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