LihaoR / Entropy-Regularized-RL
soft q learning and soft actor critic
☆15Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Entropy-Regularized-RL
- Reinforcement Learning for robotics continuous control, mainly based on Proximal Policy Optimization, extending to Interpolated Policy Gr…☆36Updated 5 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆30Updated last year
- Implement many Sparse Reward algorithms in Gym Fetch environment☆82Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆62Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- 2D Gridworld navigation using RL with Hindsight Experience Replay☆43Updated 5 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆53Updated last year
- Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)☆95Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆43Updated last year
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆49Updated last year
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆62Updated 3 years ago
- ☆44Updated 3 years ago
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆31Updated 2 years ago
- Assignments for CS294-112.☆30Updated 5 years ago
- ☆40Updated 3 years ago
- A curated list of awesome Model-based reinforcement learning resources☆90Updated 4 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Learning Individual Intrinsic Reward in MARL☆62Updated last year
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆29Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated last year
- Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)☆79Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- ☆47Updated 5 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆33Updated 3 years ago
- OpenAI Gym environment for Robot Soccer Goal☆17Updated 5 years ago
- Benchmark present methods for efficient reinforcement learning. Methods include Reptile, MAML, Residual Policy, etc. RL algorithms includ…☆27Updated last year