psclklnk / currotLinks
Source Code for the ICML Paper "Curriculum Reinforcement Learning via Constrained Optimal Transport"
☆14Updated 3 years ago
Alternatives and similar repositories for currot
Users that are interested in currot are comparing it to the libraries listed below
Sorting:
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆179Updated 3 years ago
- ☆15Updated 4 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆105Updated 5 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆141Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆38Updated 7 months ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆189Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 4 months ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- ☆32Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆31Updated 5 years ago
- Official codebase for Redeeming Intrinsic Rewards via Constrained Policy Optimization☆81Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆43Updated last year
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- Code for Sibling Rivalry and experiments presented in associated paper☆18Updated 4 months ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago