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14 search results found

Dm_control ⭐ 3,630

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Deep Neuroevolution ⭐ 1,502

Deep Neuroevolution

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.

Myosuite ⭐ 728

MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

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

Reward Learning Rl ⭐ 348

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Trust Region Policy Optimization with TensorFlow and OpenAI Gym

Marathon Envs ⭐ 176

A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

Tsallis_actor_critic_mujoco ⭐ 58

Implementation of Tsallis Actor Critic method

Mujocounity ⭐ 48

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Min Decision Transformer ⭐ 47

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

Model-based reinforcement learning in TensorFlow

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Activeragdollcontrollers ⭐ 20

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Asynch Mb ⭐ 6

Asynchronous methods for model-based reinforcement learning.

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