BY571 / Normalized-Advantage-Function-NAF-Links
PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method
☆29Updated 4 years ago
Alternatives and similar repositories for Normalized-Advantage-Function-NAF-
Users that are interested in Normalized-Advantage-Function-NAF- are comparing it to the libraries listed below
Sorting:
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆85Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Baseline implementation of recurrent PPO using truncated BPTT☆148Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Gym-like extensions for POMDP☆57Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆109Updated 4 years ago
- Robust and safe deep reinforcement learning algorithms☆15Updated last year
- Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.☆22Updated last year
- Model Predictive Actor-Critic Reinforcement Learning☆63Updated 3 years ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆32Updated 2 years ago
- RL Algorithms for Visual Continuous Control☆32Updated 2 years ago
- DecentralizedLearning☆24Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- PyTorch implementation of discrete version of Soft Actor-Critic.☆35Updated 3 years ago
- ☆14Updated 5 years ago
- behavior cloning from observation☆35Updated 4 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 11 months ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆59Updated 4 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆23Updated 4 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 5 years ago
- ☆49Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆169Updated 7 months ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆72Updated 6 years ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆66Updated 9 months ago
- There will be updates later☆85Updated 6 years ago
- Implementation of Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.☆28Updated last month