ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
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An open source robotics benchmark for meta- and multi-task reinforcement learning
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Implementations of selected inverse reinforcement learning algorithms.
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This is the official implementation of Multi-Agent PPO (MAPPO).
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Library for Model Based RL
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Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
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Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
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Clean PyTorch implementations of imitation and reward learning algorithms
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Deep Reinforcement Learning with pytorch & visdom
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[PAMI'22] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving, [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
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Reinforcement learning environments with musculoskeletal models
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Gibson Environments: Real-World Perception for Embodied Agents
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Code for "Learning to summarize from human feedback"
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Hands-On-Reinforcement-Learning-With-Pythonby sudharsan13296
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License: No License (No License)Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
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Some basic examples of playing with RL
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Scalable Multi-Agent RL Training School for Autonomous Driving
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Gym for multi-agent reinforcement learning
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Mastering Atari with Discrete World Models
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Code for the paper "Emergent Complexity via Multi-agent Competition"
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Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
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Deep Reinforcement Learning For Sequence to Sequence Models
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multi-task-learning-exampleby yaringal
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A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
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Popular-RL-Algorithmsby quantumiracle
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PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
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PlayGround: AI Research into Multi-Agent Learning.
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Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
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A PyTorch Platform for Distributed RL
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Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
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David-Silver-Reinforcement-learningby dalmia
Jupyter Notebook 710 Version:Current License: Permissive (MIT)
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
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A fast and differentiable model predictive control (MPC) solver for PyTorch.
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Python library for Reinforcement Learning.
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Build agents which are controlled by LLMs
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Hands-On-Reinforcement-Learning-with-Pythonby PacktPublishing
Jupyter Notebook 674 Version:Current License: Permissive (MIT)
Hands-On Reinforcement Learning with Python, published by Packt
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Environment for reinforcement-learning algorithmic trading models
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PythonLinearNonlinearControlby Shunichi09
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License: No License (No License)PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
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BabyAGI: an Autonomous and Self-Improving agent, or BASI
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A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
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Python implementations of contextual bandits algorithms
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Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
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Decision Intelligence Platform for Autonomous Driving simulation.
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Hearthstone simulator using C++ with some reinforcement learning
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A simple OpenAI Gym environment for single and multi-agent reinforcement learning
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Python library to decode StarCraft II replay protocols
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Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
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A PyTorch library for building deep reinforcement learning agents.
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PyTorch implementation of soft actor critic
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reinforcement-learning-algorithmsby TianhongDai
Python 580 Version:Current License: No License (No License)
License: No License (No License)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 still in progress)
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High throughput synchronous and asynchronous reinforcement learning
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Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
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chatarenaby chatarena
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
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metaworldby rlworkgroup
An open source robotics benchmark for meta- and multi-task reinforcement learning
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Inverse-Reinforcement-Learningby MatthewJA
Implementations of selected inverse reinforcement learning algorithms.
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on-policyby marlbenchmark
This is the official implementation of Multi-Agent PPO (MAPPO).
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mbrl-libby facebookresearch
Library for Model Based RL
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Super-mario-bros-A3C-pytorchby uvipen
Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros
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Reinforceby qqiang00
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
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imitationby HumanCompatibleAI
Clean PyTorch implementations of imitation and reward learning algorithms
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pytorch-rlby jingweiz
Deep Reinforcement Learning with pytorch & visdom
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transfuserby autonomousvision
[PAMI'22] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving, [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Python 784Updated: 2 y ago License: Permissive (MIT)
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osim-rlby stanfordnmbl
Reinforcement learning environments with musculoskeletal models
Python 778Updated: 4 y ago License: Permissive (MIT)
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GibsonEnvby StanfordVL
Gibson Environments: Real-World Perception for Embodied Agents
C 776Updated: 2 y ago License: Permissive (MIT)
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summarize-from-feedbackby openai
Code for "Learning to summarize from human feedback"
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Hands-On-Reinforcement-Learning-With-Pythonby sudharsan13296
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Jupyter Notebook 767Updated: 2 y ago License: No License (No License)
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RLexampleby cuhkrlcourse
Some basic examples of playing with RL
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SMARTSby huawei-noah
Scalable Multi-Agent RL Training School for Autonomous Driving
Python 759Updated: 2 y ago License: Permissive (MIT)
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PettingZooby PettingZoo-Team
Gym for multi-agent reinforcement learning
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dreamerv2by danijar
Mastering Atari with Discrete World Models
Python 755Updated: 2 y ago License: Permissive (MIT)
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multiagent-competitionby openai
Code for the paper "Emergent Complexity via Multi-agent Competition"
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visual-pushing-graspingby andyzeng
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
Python 745Updated: 2 y ago License: Permissive (BSD-2-Clause)
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RLSeq2Seqby yaserkl
Deep Reinforcement Learning For Sequence to Sequence Models
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multi-task-learning-exampleby yaringal
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
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Popular-RL-Algorithmsby quantumiracle
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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pytorch-maml-rlby tristandeleu
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
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playgroundby MultiAgentLearning
PlayGround: AI Research into Multi-Agent Learning.
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maroby microsoft
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Python 716Updated: 2 y ago License: Permissive (MIT)
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torchbeastby facebookresearch
A PyTorch Platform for Distributed RL
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large-scale-curiosityby openai
Code for the paper "Large-Scale Study of Curiosity-Driven Learning"
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David-Silver-Reinforcement-learningby dalmia
Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.
Jupyter Notebook 710Updated: 2 y ago License: Permissive (MIT)
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mpc.pytorchby locuslab
A fast and differentiable model predictive control (MPC) solver for PyTorch.
Python 693Updated: 2 y ago License: Permissive (MIT)
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mushroom-rlby MushroomRL
Python library for Reinforcement Learning.
Python 685Updated: 2 y ago License: Permissive (MIT)
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llm_agentsby mpaepper
Build agents which are controlled by LLMs
Python 680Updated: 2 y ago License: Permissive (MIT)
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Hands-On-Reinforcement-Learning-with-Pythonby PacktPublishing
Hands-On Reinforcement Learning with Python, published by Packt
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gym-tradingby hackthemarket
Environment for reinforcement-learning algorithmic trading models
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PythonLinearNonlinearControlby Shunichi09
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
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Replicating-DeepMindby kristjankorjus
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
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babyagi-asiby oliveirabruno01
BabyAGI: an Autonomous and Self-Improving agent, or BASI
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CityFlowby cityflow-project
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
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contextualbanditsby david-cortes
Python implementations of contextual bandits algorithms
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Neural-SLAMby devendrachaplot
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Python 628Updated: 2 y ago License: Permissive (MIT)
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DI-driveby opendilab
Decision Intelligence Platform for Autonomous Driving simulation.
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RosettaStoneby utilForever
Hearthstone simulator using C++ with some reinforcement learning
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slimevolleygymby hardmaru
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
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s2protocolby Blizzard
Python library to decode StarCraft II replay protocols
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pybullet-gymby benelot
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
Python 600Updated: 4 y ago License: Proprietary (Proprietary)
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autonomous-learning-libraryby cpnota
A PyTorch library for building deep reinforcement learning agents.
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pytorch-soft-actor-criticby pranz24
PyTorch implementation of soft actor critic
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reinforcement-learning-algorithmsby TianhongDai
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 still in progress)
Python 580Updated: 2 y ago License: No License (No License)
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sample-factoryby alex-petrenko
High throughput synchronous and asynchronous reinforcement learning
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fast_abs_rlby ChenRocks
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Python 574Updated: 4 y ago License: Permissive (MIT)
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