Multi-Goal Reinforcement Learning

20 papers with code • 1 benchmarks • 2 datasets

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Use these libraries to find Multi-Goal Reinforcement Learning models and implementations
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Most implemented papers

Proximal Policy Optimization Algorithms

labmlai/annotated_deep_learning_paper_implementations 20 Jul 2017

We propose a new family of policy gradient methods for reinforcement learning, which alternate between sampling data through interaction with the environment, and optimizing a "surrogate" objective function using stochastic gradient ascent.

Playing Atari with Deep Reinforcement Learning

labmlai/annotated_deep_learning_paper_implementations 19 Dec 2013

We present the first deep learning model to successfully learn control policies directly from high-dimensional sensory input using reinforcement learning.

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning

ymollard/APEX 7 Aug 2017

We present an algorithmic approach called Intrinsically Motivated Goal Exploration Processes (IMGEP) to enable similar properties of autonomous learning in machines.

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning

ruizhaogit/mep 21 May 2019

This objective encourages the agent to maximize the expected return, as well as to achieve more diverse goals.

Learning to Reach Goals via Iterated Supervised Learning

dibyaghosh/gcsl ICLR 2021

Current reinforcement learning (RL) algorithms can be brittle and difficult to use, especially when learning goal-reaching behaviors from sparse rewards.

An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality

spitis/deepnorms ICLR 2020

When defining distances, the triangle inequality has proven to be a useful constraint, both theoretically--to prove convergence and optimality guarantees--and empirically--as an inductive bias.

Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

spitis/mrl ICML 2020

What goals should a multi-goal reinforcement learning agent pursue during training in long-horizon tasks?

An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet

IanYangChina/pybullet_multigoal_gym 12 May 2021

This work re-implements the OpenAI Gym multi-goal robotic manipulation environment, originally based on the commercial Mujoco engine, onto the open-source Pybullet engine.

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics

knowledgetechnologyuhh/hipss 8 Apr 2022

We show that hindsight instructions improve the learning performance, as expected.