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Search results for gym sac

14 search results found

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

DrQ: Data regularized Q

Reinforcement Learning Algorithms Based on PyTorch

Pytorch_sac ⭐ 232

PyTorch implementation of Soft Actor-Critic (SAC)

Learning To Drive In 5 Minutes ⭐ 210

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Deep Reinforcement Learning With Python ⭐ 94

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

Proto-RL: Reinforcement Learning with Prototypical Representations

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

a modular reinforcement learning library with JAX agents

Openai Gym Projects ⭐ 12

OpenAI Gym environment solutions using Deep Reinforcement Learning.

Rl_with_resets ⭐ 11

JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"

Deep Reinforcement Learning With Pytorch ⭐ 8

Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO

Project Sandwich Man ⭐ 5

A project for researching a complex and long-horizon manipulation task especially focused on hierarchically stacking blocks.

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