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13 search results found

Rlcard ⭐ 2,260

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Scalable, event-driven, deep-learning-friendly backtesting library

Macad Gym ⭐ 224

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Neuro Nav ⭐ 185

A library for neuroscience-inspired navigation and decision making research.

A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.

Hierarchical Actor Critic Hac Pytorch ⭐ 154

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

Gym Games ⭐ 65

A gymnasium version of various games for reinforcement learning.

Endless Memory Gym ⭐ 65

Challenging Memory-based Deep Reinforcement Learning Agents

Reinforcement Learning ⭐ 33

Reinforcement Learning Examples Of Policy Gradients, PPO+GAE, and DDQN Using OpenAI Gym and PyTorch

Easyagents ⭐ 33

Reinforcement Learning for Practitioners.

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Rl Policies Attacks Defenses ⭐ 26

Adversarial attacks on Deep Reinforcement Learning (RL)

Implementations of a large collection of reinforcement learning algorithms.

Btc_rl_trading_bot ⭐ 14

A trading bitcoin agent was created with deep reinforcement learning implementations.

Stochastic Muzero ⭐ 14

Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.

Spacefortress ⭐ 9

OpenAI Gym compatible reinforcement learning environment for Space Fortress https://arxiv.org/abs/1809.02206

Gym Retro Template ⭐ 7

One-click setup for OpenAI Gym Retro on FloydHub

Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

Ddqn_deep Double_q Learning For Solving Openai Gym Lunarlander V2 In Python ⭐ 5

reinforcement learning Double Deep Q Learning (DDQN) method to solve OpenAi Gym "LunarLander-v2" by usnig Double Deep NeuralNetworks

Multi Level Rl For Robotics ⭐ 5

A library for training robots using RL under the scheme of multi-level RL.

Related Searches

Python Deep Reinforcement Learning (616)

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Rl Deep Reinforcement Learning (165)

1-13 of 13 search results

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