BY571 / QR-DQNLinks
PyTorch implementation of QR-DQN: Distributional Reinforcement Learning with Quantile Regression
☆28Updated 4 years ago
Alternatives and similar repositories for QR-DQN
Users that are interested in QR-DQN are comparing it to the libraries listed below
Sorting:
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆177Updated 10 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆103Updated 2 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆123Updated 4 years ago
- Distributional Soft Actor Critic☆53Updated 5 years ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated 10 months ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- ☆41Updated 5 years ago
- Solving POMDP using Recurrent networks☆87Updated 4 years ago
- PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF…☆32Updated 4 years ago
- ☆28Updated 4 years ago
- An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"☆181Updated 2 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- ☆120Updated 2 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- ☆83Updated 6 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆128Updated 10 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic(SAC).☆103Updated 4 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆289Updated 4 years ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."☆58Updated 5 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆45Updated 6 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆209Updated 5 years ago