If not, should the reward in this case be the sum of reward for each corresponding state and goal pair? I am sorry. It is a little hard for me to debug. Thank you so much. Just for reference, below is the compute_reward function def compute_reward(self, achieved_goal, goal, info)...
Both the ppov2 and the rloo trainers use the following to compute rewards . trl/trl/trainer/ppov2_trainer.py Lines 322 to 324 in 3c0a10b _, score, _ = get_reward( reward_model, postprocessed_query_response, tokenizer.pad_token_id, contex...
Fodor. An effective numerical method to compute the moments of the completion time of Markov reward models. Computers & Mathematics with Applications, 36(8):59-65, 1998.Telek, M., Pfening, A. and Fodor, G. (1998) `An effective numerical method to com- pute the moments of the ...
看了Karpathy 的这个访谈,感觉 llm 这边可能有很多可以向自动驾驶领域学习的点,例如说自动驾驶领域是怎么处理 imitation learning (sft) 中的问题,怎么处理 reward 过于稀疏的问题。就像是 inference compute scaling 这块大家在从 alphago 以及各种下棋/扑克方面的工作学习一样。链接 发布于 2024-10-08 00:48・IP...
Topping the class academically was certainly an advantage. Studying was a breeze for Nigel. The reward was certainly incomparable to the little effort that he had to put in. It began when he was selected to help the teachers in the computer laboratories. ...
docstring fix for compute_reward 009a161 jkterry1 merged commit ee0a568 into openai:master Sep 1, 2021 zlig pushed a commit to zlig/gym that referenced this pull request Sep 6, 2021 docstring fix for compute_reward (openai#2380) fe01833 Sign up for free to join this conversation...
AlignProp uses direct reward backpropogation for the alignment of large-scale text-to-image diffusion models. Our method is 25x more sample and compute efficient than reinforcement learning methods (PPO) for finetuning Stable Diffusion - mihirp1998/Align