CoderAT13 / BipedalWalkerHardcore-SACLinks
BipedalWalker & BipedalWalkerHardcore solved by SAC
☆25Updated last year
Alternatives and similar repositories for BipedalWalkerHardcore-SAC
Users that are interested in BipedalWalkerHardcore-SAC are comparing it to the libraries listed below
Sorting:
- Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)☆53Updated 7 months ago
- 这是一个关于基于模型的强化学习的资料,包括一些代码地址、paper、slide等。☆44Updated 5 years ago
- Deep recurrent Q learning on CartPole-v1 environment☆93Updated last year
- a clean and robust Pytorch implementation of SAC on continuous action space☆86Updated 5 months ago
- Solve BipedalWalkerHardcore-v2 with TD3☆91Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆192Updated last year
- The implementation of LSTM-TD3.☆85Updated 2 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆104Updated 3 years ago
- DSAC; Distributional Soft Actor-Critic☆132Updated 7 months ago
- PyTorch implementation of the discrete Soft-Actor-Critic algorithm.☆53Updated 4 years ago
- Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics…☆87Updated 4 years ago
- Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]☆73Updated 6 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆61Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆163Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆91Updated 10 months ago
- Code accompanying paper "Coordinated Proximal Policy Optimization"☆11Updated 3 years ago
- ☆102Updated 3 years ago
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆112Updated 4 years ago
- Hello😜☆30Updated 4 years ago
- ☆155Updated 6 years ago
- This is the official implementation of Multi-Agent PPO.☆118Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆50Updated 5 years ago
- implementation of MADDPG using PettingZoo and PyTorch☆155Updated last year
- implementation of MADDPG using PyTorch and multiagent-particle-envs☆38Updated 3 years ago
- A novel DDPG method with prioritized experience replay (IEEE SMC 2017)☆50Updated 6 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆292Updated 4 years ago
- Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,D…☆94Updated 4 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆221Updated 6 years ago
- A simple and fast 2D RL environment with obstacles to learn navigation.☆21Updated 6 years ago
- pytorch实现的一些MARL算法☆68Updated 4 years ago