siekmanj / r2l
Recurrent continuous reinforcement learning algorithms implemented in Pytorch.
☆51Updated 3 years ago
Alternatives and similar repositories for r2l:
Users that are interested in r2l are comparing it to the libraries listed below
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆68Updated 4 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆44Updated 4 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆94Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- ☆70Updated 5 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆99Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 8 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆35Updated last month
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆89Updated 8 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- ☆98Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- ☆53Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- V-MPO torch version with DMLab30 and GTrXL☆13Updated 4 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆104Updated 3 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Pytorch implementation of "Maximum a Posteriori Policy Optimization" with Retrace for Discrete gym environments☆27Updated 4 years ago