kpaonaut / HAAR-A-Hierarchical-RL-AlgorithmLinks
Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards
☆32Updated 2 years ago
Alternatives and similar repositories for HAAR-A-Hierarchical-RL-Algorithm
Users that are interested in HAAR-A-Hierarchical-RL-Algorithm are comparing it to the libraries listed below
Sorting:
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- ☆54Updated last year
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆111Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆46Updated 6 years ago
- ☆30Updated 3 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- ☆28Updated 3 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆36Updated 3 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆88Updated 5 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 3 years ago
- Assignments for CS294-112.☆30Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- ☆92Updated last year
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆171Updated 8 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆130Updated last year
- MATE: the Multi-Agent Tracking Environment.☆46Updated 2 years ago
- curriculum☆25Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆42Updated last year
- ☆49Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year