quantumiracle / Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms include DDPG, PPO.
☆32Updated 2 years ago
Alternatives and similar repositories for Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations
Users that are interested in Benchmark-Efficient-Reinforcement-Learning-with-Demonstrations are comparing it to the libraries listed below
Sorting:
- ☆40Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- ☆20Updated 2 years ago
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆51Updated 2 months ago
- Assignments for CS294-112.☆30Updated 5 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago
- There will be updates later☆84Updated 6 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆59Updated 4 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆107Updated 3 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 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
- ☆39Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆28Updated 2 years ago
- ☆59Updated 4 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆48Updated 5 years ago
- Constrained Policy Optimization implementation on Safety Gym☆27Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆54Updated last year
- ReinforcementLearning Learn Play Atari Using DDPG and LSTM.☆20Updated 7 years ago
- ☆38Updated 3 years ago
- Collection of OpenAI parametrized action-space environments.☆65Updated last month
- Deep Implicit Coordination Graphs☆41Updated 11 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆125Updated 3 months ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated last year
- ☆120Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago