xtma / dsac
Distributional Soft Actor Critic
☆51Updated 4 years ago
Alternatives and similar repositories for dsac:
Users that are interested in dsac are comparing it to the libraries listed below
- ☆47Updated 3 years ago
- Implementation of Off Policy Adversarial Inverse Reinforcement Learning☆22Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- ☆73Updated 8 months ago
- Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation☆63Updated 3 years ago
- There will be updates later☆84Updated 5 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆55Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆158Updated 3 months ago
- ☆70Updated last year
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆131Updated 9 months ago
- ☆55Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆162Updated 2 years ago
- ☆42Updated 3 years ago
- Implementing the two pioneering IRL papers "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000) and "Maximum Entropy Inve…☆27Updated last year
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Level-Based Foraging (LBF): A multi-agent reinforcement learning environment☆42Updated 5 months ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆122Updated 6 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- DecentralizedLearning☆23Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆51Updated last year
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Unofficial Code for NeurIPS 2021 paper "Regret Minimization Experience Replay in Off-policy Reinforcement Learning"☆13Updated 3 years ago
- ☆44Updated 2 years ago