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a-deep-rl-approach-for-sdn-routing-optimizationby knowledgedefinednetworking
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Landing-a-SpaceX-Falcon-Heavy-Rocketby llSourcell
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Simple reinforcement learning in Python.
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Train an RL agent to localize actively (PyTorch)
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neural-combinatorial-optimization-rl-tensorflowby MichelDeudon
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Safe-Policy-Optimizationby PKU-Alignment
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AI research environment for the Atari 2600 games ๐ค.
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DeepRL-Groundingby devendrachaplot
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
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TheLastSliceGameby TheLastSliceGame
UPDATE: This challenge has ended. INSTRUCTIONS: Beat challenge 1 (download the game, change the code) here. Then beat challenge 2. First five to beat challenge 3 win $10,000 USD each. No joke.
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A simple store for all your basic needs, and a foundational data layer primitive for iOS and Mac apps. ๐ฑ
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ACERby Kaixhin
Actor-critic with experience replay
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MuJoCo_RL_UR5by PaulDanielML
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
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mfrlby mlii
Mean Field Multi-Agent Reinforcement Learning
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leaflet.offlineby allartk
Leaflet offline layer
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retroactiveby csvoss
Fun with time travel: Implementing retroactive data structures in Python
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phasic-policy-gradientby openai
Code for the paper "Phasic Policy Gradient"
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rl_tradingby ucaiado
An environment to high-frequency trading agents under reinforcement learning
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poke-envby hsahovic
A python interface for training Reinforcement Learning bots to battle on pokemon showdown
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pomdp-baselinesby twni2016
Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022
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a-deep-rl-approach-for-sdn-routing-optimizationby knowledgedefinednetworking
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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Landing-a-SpaceX-Falcon-Heavy-Rocketby llSourcell
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SIMPLEby davidADSP
Selfplay In MultiPlayer Environments
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multiworldby vitchyr
Multitask Environments for RL
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Soft-Actor-Critic-and-Extensionsby BY571
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
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reinforceby NathanEpstein
Simple reinforcement learning in Python.
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tetris-aiby nuno-faria
A deep reinforcement learning bot that plays tetris
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rocket-recyclingby jiupinjia
Rocket-recycling with Reinforcement Learning
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random-network-distillation-pytorchby jcwleo
Random Network Distillation pytorch
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marLoby crowdAI
Multi Agent Reinforcement Learning using Malmร
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Pytorch-PCGradby WeiChengTseng
Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"
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ddpgby rmst
Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym
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gym-sokobanby mpSchrader
Sokoban environment for OpenAI Gym
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deep-algotradingby LiamConnell
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
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DRLby Kyushik
Repository for codes of 'Deep Reinforcement Learning'
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PEDRAby aqeelanwar
Programmable Engine for Drone Reinforcement Learning Applications
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adeptRLby heronsystems
Reinforcement learning framework to accelerate research
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Neural-Localizationby devendrachaplot
Train an RL agent to localize actively (PyTorch)
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SenseActby kindredresearch
SenseAct: A computational framework for developing real-world robot learning tasks
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pynecone-examplesby pynecone-io
A repository full of Pynecone example apps.
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pytorch-MADRLby ChenglongChen
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
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safe_learningby befelix
Safe reinforcement learning with stability guarantees
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MuZeroby johan-gras
A structured implementation of MuZero
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zeroshot-imitationby pathak22
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration
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DRLPytorchby GAOYANGAU
Pytorch for Deep Reinforcement Learning
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MetaGymby PaddlePaddle
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
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modular-rlby huangwl18
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
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pytorch_mppiby UM-ARM-Lab
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
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L2Dby zcaicaros
Official implementation of paper "Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning"
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neural-combinatorial-optimization-rl-tensorflowby MichelDeudon
Neural Combinatorial Optimization with Reinforcement Learning
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ProMPby jonasrothfuss
ProMP: Proximal Meta-Policy Search
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CS-Studyby Songwonseok
๋ฉด์ ๋๋น CS ์คํฐ๋(+์๊ณ ๋ฆฌ์ฆ)
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AgentFormerby Khrylx
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
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Safe-Policy-Optimizationby PKU-Alignment
This is a benchmark repository for safe reinforcement learning algorithms
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atariby gsurma
AI research environment for the Atari 2600 games ๐ค.
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