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33 search results found

Softlearning ⭐ 1,108

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Popular Rl Algorithms ⭐ 981

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

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

Pytorch Soft Actor Critic ⭐ 414

PyTorch implementation of soft actor critic

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

RAD: Reinforcement Learning with Augmented Data

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

Soft Actor Critic And Extensions ⭐ 87

PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Combining deep learning and reinforcement learning.

JAX implementations of core Deep RL algorithms

Pytorch_sac_ae ⭐ 38

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

Rl_matrix ⭐ 36

Reinforcement Learning Agents in .NET

Policy Gradient Methods ⭐ 35

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Proto-RL: Reinforcement Learning with Prototypical Representations

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

Isaac Manipularl ⭐ 24

Deep Reinforcement Learning Framework for Manipulator based on NVIDIA's Isaac-gym, Additional add SAC2019 and Reinforcement Learning from Demonstration Algorithm.

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

Deep Reinforcement Learning Algorithm Collection ⭐ 17

Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

Rl Toolkit ⭐ 17

RL-Toolkit: A Research Framework for Robotics

Multi_rotor_avoidance_rl ⭐ 11

DRL-based path planner for real quadrotor

Rl_with_resets ⭐ 11

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

Quantumexplorer ⭐ 10

A quantum reinforcement learning framework for exploring new ideas, based on PyTorch and PennyLane.

Rlin200lines ⭐ 9

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

Sb3 Jax Haiku ⭐ 7

stable-baselines with JAX & Haiku

Deep Rl Autonomous Systems ⭐ 7

Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.

CURLA: CURL x CARLA -- Robust end-to-end Autonomous Driving by combining Contrastive Learning and Reinforcement Learning

Spinning_up_kr ⭐ 6

Synapse Rl ⭐ 6

PyTorch framework for reinforcement learning

Machinelearning ⭐ 6

Various machine learning implementations and tools

PyTorch implementation of the Discrete Soft Actor-Critic algorithm with RNN policy

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