mike-gimelfarb / deep-successor-features-for-transferLinks
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
☆46Updated 4 years ago
Alternatives and similar repositories for deep-successor-features-for-transfer
Users that are interested in deep-successor-features-for-transfer are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆134Updated last year
- Gridworld for MARL experiments☆141Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆180Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆172Updated 10 months ago
- Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'☆67Updated 3 years ago
- Distributional Soft Actor Critic☆58Updated 5 years ago
- Project on Successor Features in Deep Reinforcement Learning and Transfer Learning☆24Updated 7 years ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆66Updated 4 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
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆188Updated 3 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆48Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆104Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆210Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆194Updated 2 years ago
- discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!☆56Updated 2 years ago
- Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022☆331Updated last year
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 3 months ago
- ☆201Updated 2 years ago
- PyTorch implementation of GAIL and AIRL based on PPO.☆223Updated 4 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Submission for MAVEN: Multi-Agent Variational Exploration☆59Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆212Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆261Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆373Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆141Updated 2 years ago
- Partially Observable Process Gym☆199Updated 3 months ago