YangRui2015 / Sparse-Reward-Algorithms
Implement many Sparse Reward algorithms in Gym Fetch environment
☆86Updated 4 years ago
Alternatives and similar repositories for Sparse-Reward-Algorithms:
Users that are interested in Sparse-Reward-Algorithms are comparing it to the libraries listed below
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆106Updated 3 years ago
- ☆16Updated 2 years ago
- [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.☆85Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆65Updated 3 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆126Updated 8 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆61Updated 10 months ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆53Updated 2 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆39Updated 4 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆167Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆166Updated 5 months ago
- Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …☆74Updated 4 months ago
- There will be updates later☆84Updated 5 years ago
- Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).☆82Updated last year
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆66Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆67Updated last year
- Constrained Policy Optimization implementation on Safety Gym☆25Updated 3 years ago
- ☆39Updated 2 years ago
- Assignments for CS294-112.☆30Updated 5 years ago
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆166Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…☆135Updated 11 months ago
- The implement of the policy gradient RL algorithm with pytorch☆38Updated 4 years ago
- Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.☆121Updated 3 years ago
- Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…☆131Updated 4 years ago
- ☆93Updated 4 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆33Updated 4 years ago
- DSAC; Distributional Soft Actor-Critic☆125Updated 2 months ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆40Updated last year