jmichaux / intrinsic-motivation
Using multiple sensor modalities to improve exploration for robotic manipulation tasks with sparse rewards
☆11Updated 5 years ago
Alternatives and similar repositories for intrinsic-motivation:
Users that are interested in intrinsic-motivation are comparing it to the libraries listed below
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated last year
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Reinforcement Learning via Latent State Decoding☆30Updated last year
- ☆41Updated 6 years ago
- Simple grid-world environment compatible with OpenAI-gym☆49Updated 4 years ago
- Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)☆43Updated last year
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 3 years ago
- The state-of-art deep rl algorithms for Montezuma's revenge☆25Updated 6 years ago
- MultiTask Environments for Reinforcement Learning.☆74Updated 2 years ago
- In Progress : State of the art Distributed Distributional Deep Deterministic Policy Gradient algorithm implementation in pytorch.☆18Updated 6 years ago
- ☆45Updated 2 years ago
- Code for Sibling Rivalry and experiments presented in associated paper☆16Updated 3 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- PyTorch implementation of Memory Augmented Self-Play☆50Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆66Updated 4 years ago
- Contextual Bandits Action Elimination DQN☆19Updated 6 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- A curated list of reinforcement learning environments and frameworks.☆50Updated 5 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆67Updated 3 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- Code for Automatic Curriculum Learning through Value Disagreement☆30Updated 4 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆52Updated 5 years ago