microsoft / oac-explore
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
☆68Updated last year
Alternatives and similar repositories for oac-explore:
Users that are interested in oac-explore are comparing it to the libraries listed below
- ☆41Updated 6 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated last year
- ☆60Updated 6 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆121Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- ☆97Updated last year
- Invariant Causal Prediction for Block MDPs☆43Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- ☆91Updated last year
- Revisiting Rainbow☆73Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆146Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- ☆85Updated 5 months ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 6 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆92Updated 6 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 3 years ago
- ☆54Updated 10 months ago
- ☆110Updated last year
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 4 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆187Updated 2 years ago
- Soft Actor-Critic☆142Updated 6 years ago
- ☆119Updated 5 months ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning☆98Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- impact-driven-exploration☆130Updated last year
- ☆81Updated 3 years ago